Browse Topic: Analysis methodologies

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Design and Simulation Analysis of an Integrated Honeycomb-filled Front Bumper for a Special Vehicle2026-01-0475To be published on 04/07/2026
In frontal collisions of automobiles, the bumper beam at the front of the vehicle plays a crucial role in absorbing energy and protecting the vehicle body during a collision. To enhance the collision resistance of a specific type of special vehicle with a non-load-bearing body structure, this paper focuses on this type of vehicle and conducts a study on the design and collision performance of an integrated vehicle front bumper-impact beam structure based on aluminum alloy additive manufacturing technology. A novel bumper structure is proposed, which integrates the front bumper and the front impact beam of the vehicle and is integrally formed using aluminum alloy additive manufacturing technology. This integrated structure is directly connected to the vehicle frame. Firstly, based on the appearance of the special vehicle body and the form of the front impact beam of traditional passenger vehicles, an integrated design of the vehicle front bumper-impact beam structure is carried out and
王, Xufan, Yuan, Liu-Kai, Zhang, Tangyun, Wang, Tao, Zhang, Ming, Wang, Liangmo
EV Propulsion Drive Converter SiC Power Device Over-Temperature Protection under Low Motor Speed Operation2026-01-0436To be published on 04/07/2026
Monitoring power device temperature in an electric vehicle propulsion drive converter is extremely important to achieve full power delivery within the maximum power capability envelope. Usually, on-die temperature sensors are installed on Si-IGBT power devices in electric vehicle propulsion drive converters to enable monitoring device temperature and achieve over-temperature protection. Currently, SiC MOSFET is a promising power device in power converters of electric drives because of its lower loss, higher switching speed, higher voltage capability, and higher junction temperature limit in comparison with widely used Si-IGBT. However, SiC MOSFET is a more expensive device, so the present technology trend is trying to reduce its chip size. Installation of an on-die temperature sensor on SiC MOSFET will significantly increase its cost and complexity. So presently, there is no junction temperature sensor installed in SiC MOSFET due to which there is great difficulty protecting SiC MOSFET
Thongam, Jogendra Singh, Ge, BAOMING, Bradford, Steven, Kulkarni, Milind
Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving: A Cross-Architecture Analysis2026-01-0170To be published on 04/07/2026
Vision-language models (VLMs) offer a promising end-to-end approach for autonomous driving, but their robustness to physical adversarial attacks remains an unaddressed gap for safety-critical deployment. This paper introduces a systematic framework for evaluating these attacks using the Dolphins VLM and CARLA simulator. We employ Natural Evolution Strategies (NES), a black-box optimization method, to generate adversarial patches without internal model access. Our approach uses semantic similarity loss and Expectation over Transformation (EoT) to ensure physical realizability under varying viewing conditions. Patches are strategically placed on realistic advertising infrastructure (bus shelter panels and highway billboards), reflecting a plausible threat model. We establish two complementary scenarios: crosswalk pedestrian detection suppression and highway steering manipulation. Our evaluation reveals critical vulnerabilities. Adversarial patches achieved a 76.0% overall attack success
Fernandez, David, MohajerAnsari, Pedram, Salarpour, Amir, Pese, Mert D.
CrashML Analyzer: A Data-Driven Approach for Investigation and Fault Assignment in Autonomous Driving Collisions2026-01-0160To be published on 04/07/2026
This study investigates factors contributing to autonomous vehicle (AV) accidents and proposes an automated fault determination framework. A total of 563 accident reports from the State of California Department of Motor Vehicles spanning from 2019 to 2024 were analyzed by converting unstructured standardized reports into structured data using custom extraction tools. Analysis of these reports reveal that AVs were not at fault in 69.4% of cases, and were fully at fault for 22.6% of the cases. The proposed method uses these reports to provide an early indicator of fault likelihood and potentially replaces tedious manual review. Machine Learning (ML) and Natural Language Processing techniques were used to replicate the reported faults, achieving 96% average accuracy across three models: Gradient Boosting, Linear Regression, and Random Forest. Through feature engineering techniques in semantic feature extraction from narrative accident descriptions, quantifiable variables were obtained and
Rwejuna, Florida Perfect, Majid, Nishatul, Goutham, Mithun, Loukili, Alae
Numerical Analysis of Operating Parameters Coupled Effects on Flow Instability Mechanisms at Supercritical Pressure2026-01-0134To be published on 04/07/2026
Supercritical fluids (SCFs) are widely utilized in advanced energy systems due to their exceptional heat transfer characteristics. However, flow instability, particularly near pseudo-critical conditions, poses a significant challenge to their effective applications. Despite extensive research, the coupled effects of thermal and fluid dynamic mechanisms on flow instability remain insufficiently understood, particularly in supercritical water (SCW) systems. This study identifies the onset of flow instability (OFI) in the negative slope region of pressure drop curve during steady-state conditions, analyzing the relationship between pressure drop and mass flow rate. Transient analyses were then conducted to investigate the influence of operating parameters on oscillatory phenomena such as pressure drop oscillations (PDO), density wave oscillations (DWO), and thermal oscillations (ThO). The results show that higher mass flow rates and heat fluxes, reduce pressure oscillations by up to 20
Rehman, Attiq Ur, Ahmad, Hassaan, Du, Xiaocheng, Kanwal, Lubna
Advancing Safe Battery Design through Experimental Cell Characterization of Thermal, Electrical and Mechanical Properties2026-01-0408To be published on 04/07/2026
Lithium-ion batteries are critical to electric vehicles and grid-scale energy storage. Safe design of battery systems relies on accurate simulation of battery thermal runaway under electrical, thermal, and mechanical abuse. A predictive battery simulation requires the characterization of electrical, thermal, and mechanical properties of the battery at the full cell and cell-component levels. In this study, a commercial cell from an electric vehicle was disassembled, and testing was conducted to support both homogenized and detailed computational models. At the cell level, electrical properties were characterized using Hybrid Pulse Power Characterization (HPPC) testing to assess the cell power capability. Cell punch tests were conducted to characterize mechanical behavior under deformation. These tests were used to develop a multi-physics homogenized cell model. On the other hand, detailed cell modeling that includes different component layers could help users understand localized cell
Challa, Vidyu, Rostami-Angas, Masoud, kong, Kevin, Wang, Leyu, Reichert, Rudolf, Kan, Cing-Dao
From algorithm to engineering judgment: navigating topology optimization's limits in crash applications2026-01-0189To be published on 04/07/2026
The non-linear nature of crash applications has led to many designs being developed through extensive trial and error based on the intuitions of the design engineer, as such using topology optimization for crash applications can provide major improvements in cost, weight, and passenger safety. Topology optimization is known for creating stiff, lightweight structures, however its application to crash scenarios must be handled carefully. Compliance minimization, the most common optimization objective, can yield misleading designs that prioritize undesirable qualities when developing structures for crash applications. In this paper the design optimization process of a passenger seat assembly subject to both an enforced displacement phase into a crash deceleration phase is discussed Due to the conflicting nature of compliance minimization and enforced displacement, the design was split into two types of regions; sacrificial, which are regions manually designed to absorb the majority of the
Orr, Mathew, Shi, Yifan, Lee, Jake, Gray, Savannah, Park, Taeil, Wotten, Erik, LeFrancois, Richard, Huang, Yuhao, Patel, Anuj, Kim, Hansu, Burns, Nicholas, Jalayer, Shayan, Grant, Robert, Kok, Leo, Hansen, Eric, Kim, Il Yong
Optimizing joint efficiency in stainless steel-aluminum alloy FSW joints through advanced parameter control2026-01-0228To be published on 04/07/2026
The present work investigates the friction stir welding (FSW) of dissimilar materials, specifically stainless steel 304 and aluminum alloy AA2024-T3, to analyze their tensile strength behavior. The significant challenges inherent in joining these materials, stemming from their vastly divergent thermal and mechanical properties, are addressed through a structured experimental and statistical methodology. The L18 Taguchi mixed orthogonal array was employed to systematically evaluate the influence of three critical process parameters: tool rotational speed, welding speed, and tool pin offset. Eighteen experimental trials were conducted using a butt joint configuration. The analysis identified tool rotational speed as the most influential parameter affecting the joint integrity. A combination of 450 rpm rotational speed, 20 mm/min welding speed, and a 1.5 mm pin offset toward the aluminum side yielded the optimum results, achieving a peak ultimate tensile strength (UTS) of 344.7 MPa and a
Mir, Fayaz Ahmad, Khan, Noor Zaman, Pali, Harveer Singh
A Helical Compression Spring Fracture under Impact Velocity in Pump Operation by Theoretical Study and FEA2026-01-0271To be published on 04/07/2026
Helical compression springs have been used widely in various industries from automotive, aerospace and heavy-duty industries to electronics and medical devices. In the automotive industry, they appear in many places such as suspension, valvetrain, etc., especially in the discharge check valve of Gasoline Direct Injection (GDI) pump, which is the subject of study due to a recent fracture in lab testing. A theoretical study is conducted first to establish equation governing spring dynamic motion under impact velocity, which can be in high magnitude with surging shock wave along spring axis. A new spring shock wave equation is developed for spring axial motion coupled with coil torsional effect. This newly derived shock wave equation has a broad term than the classic spring formula found in engineering book. In the paper, it proves that the classic spring shock wave equation is only a special case for the new general wave equation discovered. Also, a formula on spring shock wave
Pang, Michael L., GUNTURU, SRINU, Norkin, Eugene
Novel Steel Tubular Side Sill Reinforcement Design and Validation for Enhanced Crash Performance in EVs2026-01-0478To be published on 04/07/2026
Increased use of Electrical vehicles (EVs) brings in unique structural design challenges particularly in Side Impact scenarios when the battery pack is near the sill region therefore elevating the possibility of Electrical Module penetration and triggering thermal runway event resulting from the crash. Thus, Electric Vehicles present unique structural design challenges. This study intends to evaluate a novel tubular structure design for side sill reinforcement and its performance benefits over a traditional aluminum side sill reinforcement currently commonly utilized for battery protection in EV vehicles body components. The proposed Steel side sill design mainly focuses on structural rigidity and improved load transfer during side pole impact crash cases and address manufacturing complexity and cost reduction opportunity. Multiple iterations for Steel side sill reinforcement design were carried out using finite element analysis with software like LSDYNA Hyper works to propose optimal
Kusnoorkar, Harsha, Khutorsky, Alex, Penumetsa, Vivek, Koraddi, Basavaraj
Survivability, Lethality, and Mobility Requirements of Military Vehicles Conducting Future Wet Gap Crossings2026-01-0264To be published on 04/07/2026
Wet gap crossings, which involve moving military forces across rivers and other water obstacles, are among the most difficult maneuvers that units can perform. These operations are complicated by choke points, fast-flowing water, and the exposure of forces to enemy fire. Despite these challenges, wet gap crossings remain critical to battlefield success, particularly during large-scale combat operations. Consequently, military vehicles must be designed with these operations in mind. This study examines doctrinal approaches to wet gap crossings and the trade-offs between mobility, survivability, and lethality in relation to fording, floating, rafting, and bridging. The analysis incorporates open-source data from the Institute for the Study of War, which provides daily updates on the Russia-Ukraine conflict, and Oryxspioenkop, which collates open-source images of Russian and Ukrainian battle-damaged equipment. This data is used to assess additional challenges encountered during wet gap
Lynch, Benjamin, Dosan, Logan, Mittal, Vikram
Bridging Simulation and Reality: A New Validation Approach for SUV Tailgate Weather-Strip Sealing Performance2026-01-0200To be published on 04/07/2026
Weather-strip sealing performance is critical in modern SUVs for preventing the intrusion of noise, dust, and water, directly affecting cabin comfort and NVH quality. Traditionally, experimental validation of sealing efficiency has been conducted using flat or straight JIG setups, which do not accurately represent the complex contact conditions found in actual vehicle assemblies. Components such as tailgates, doors, hoods, roofs, and bumpers typically interface with the weather-strip through curved, angled, or non-uniform surfaces, resulting in a mismatch between lab-based results and real-world performance. This study addresses the limitations of conventional flat JIG testing by proposing a more vehicle-integrated validation methodology that mirrors actual contact geometries and sealing behavior. The objective is to reduce the disparity between laboratory results and in-vehicle sealing performance, enabling more reliable design decisions and early-stage NVH optimization. The approach
GANESAN, KARTHIKEYAN, Seok, Sang Ho
Analysis of failures due to Ant entry in Automotive Electronic Components and integration of learnings in design2026-01-0193To be published on 04/07/2026
Automotive electronic components are exposed to different environmental conditions and these conditions may impact on the functioning of the components, leading to failures in vehicles globally. These failures often create inconvenience for the customers across OEMs. Addressing the failures requires measures that incur extra costs. One of the environmental factors is insect entry inside the components. This Quality research paper aims to address the need of revision of design standards due to failures caused by Ant entry. The increase in integration of technology in vehicles has led to an increase in the use of electronic components such as switches, control modules, and controllers. Vehicles are often parked in open areas (under trees, open grounds, basements or construction sites), and are in close vicinity to Ant nests or feeding areas. Ants are drawn to the warmth and shelter provided by vehicle engine bays and wiring compartments. In some cases, especially in tropical regions
MARWAH, Ramnik, Garg, Vipin, Upadhyay, Siddharth, JOSHI, Rohit, Taneja, Bhavnesh, Bose, Sushant, Dasgupta, Saikat, Sharma, Pankaj
Kissing Bonds Inspection by Measuring and Comparing Natural Frequencies Using Digital Holography2026-01-0207To be published on 04/07/2026
Accurate detection and evaluation of kissing bonds in composite materials is essential to ensure the integrity of the structure, but traditional NDT methods are often ineffective when dealing with zero-volume defects or disbonds. In this study, a vibration analysis method based on digital holography was used to detect kissing bonds by comparing the vibration mode shapes and corresponding natural frequencies of defective and intact samples. The mode shapes observed with the holography were highly consistent with the results of a linear finite element method simulation, validating the capability and accuracy of digital holography when measuring vibrational characteristics. In this study, three composite aluminum plate samples were prepared: a defect-free sample, a sample with a 30 mm-diameter kissing bond, and a sample with a 60 mm-diameter kissing bond, both located in the center of the respective plates. Controlled contamination of the bond area was used to induce kissing bond defects
Gao, Zhongfang, Fang, Siyuan, Gerini-Romagnoli, Marco, Yang, Lianxiang
Computational Modeling and Optimization of Shape Memory Polymer-Based Energy Absorbers2026-01-0573To be published on 04/07/2026
Shape memory polymers (SMPs) provide tunable thermomechanical properties and enable the design of recoverable crash structures for automotive applications. This paper introduces a computational framework for the design and optimization of SMP-based crash absorbers with periodic auxetic microstructures. A finite element (FE) model is developed and validated against experimental data reported in the literature. The model is used to simulate crushing and recovery behavior under different temperature conditions. A parametric study is performed by varying key microstructural features, including wall thickness, cell size, and cell shape. Structural performance is evaluated in terms of specific energy absorption (SEA), peak force, and recoverability under axial crush loading. To efficiently explore the high-dimensional design space, surrogate models based on machine learning are constructed, and multi-objective optimization is carried out to identify Pareto-optimal designs that balance
Zhu, Yingbo, Zhu, Feng, Deb, Anindya
Elucidation of Flow Mechanisms Modulating Vehicle Wind Noise by using Large-Scale CFD Simulation2026-01-0614To be published on 04/07/2026
In vehicle development, noise reduction is critical for ensuring passenger comfort. As electric vehicles become prevalent and engine noise is minimized, wind noise becomes more noticeable. Modulated wind noise, which causes a sense of fluctuation due to atmospheric turbulence, wind gusts, and preceding vehicle wakes, causes significant discomfort. This noise is characterized as a high-frequency sound above 1 kHz, modulated at low frequencies owing to the wind velocity and direction fluctuating at several Hz. However, the mechanisms behind wind noise modulation are not fully understood, and no established countermeasures have been developed. This is because wind noise perceived through the side window is primarily caused by the A-pillar vortex and door mirror wake, which coexist as complex turbulent flows around the vehicle. Therefore, identifying the source of modulated wind noise around vehicles under fluctuating wind conditions is difficult. This study aims to identify the source of
Tajima, Atsushi, Hirata, Takumi, Ikeda, Jun, Kamiwaki, Takahiro, Wakamatsu, Junichi, Tsubokura, Makoto
AI powered Failure Mode and Effect Analysis in safety critical industry2026-01-0106To be published on 04/07/2026
This paper presents the first systematic examination of Large Language Model (LLM) capabilities for automating the development of Failure Mode and Effects Analysis (FMEA) utilizing architectural diagrams as input. Although prior research has examined LLMs for FMEA tasks, our methodology incorporates innovative aspects, such as the direct analysis of architectural diagrams for component extraction, prediction of failure modes, causes, estimation of risk and a human-in-the-loop (Hu-IL) validation framework. We examine the capability of general-purpose LLMs to accurately automate the creation of FMEA by formulating a methodology that extracts components and signals from architectural diagrams, conducts automated component classification, and produces a comprehensive FMEA form sheet encompassing Severity, Occurrence, and Detectability (S/O/D) scoring. Our methodology is grounded in structured prompt engineering theory, utilizing scope bounding techniques to reduce hallucination while
Diwakaruni, Sundara Sasi Koushik, KRISHNAMURTHY, Anunay
Optimization of Active–Passive Integrated Evaluation Weighting for Pedestrian Protection2026-01-0577To be published on 04/07/2026
Pedestrians, as the most vulnerable road users, largely determine the severity of traffic accidents through the extent of their injuries. Traditional vehicle safety evaluations have primarily emphasized passive safety. However, with the widespread implementation of active safety technologies such as Automatic Emergency Braking (AEB), passive-only assessments no longer adequately reflect a vehicle’s true pedestrian protection performance.This study employed finite element models of a sedan and an SUV to analyze changes in pedestrian head and lower limb injury metrics before and after AEB intervention, thereby quantifying the associated injury-mitigation benefits. The results show that AEB reduced the maximum head injury value (HIC15) by about 50%, lowering the proportion of severe head injuries from 0.217 to 0.118. Conversely, braking-induced pitch effects increased the proportions of severe femur and tibia bending moment injuries to 0.235 and 0.294, respectively, making them higher
shi, Xinxin, YE, BIN, Liu, Yu, Zhan, Zhenfei, Sun, Bowen, Zhao, yuanyi, zhu, lei
Effects of Child Anthropometry, Seatback Angle, Seat Rotation Angle, Seatbelt Force Limiting, and Collision Type on Injury Risk of Child Occupants in Highly Automated Vehicles2026-01-0570To be published on 04/07/2026
This study aimed to evaluate the influence of child anthropometry, seat posture (recline and rotation), seatbelt force limiting, and frontal collision scenarios on the kinematic response and injury risk to children in highly automated vehicles. The TUST IBMs 6YO-O model was conducted the frontal collisions in sled tests. This simulation matrix includes five percentiles six-year-old occupants (P3, P25, P50, P75, and P97), three seatback angles (20°, 30°, and 45°), four seat rotation angles (0°, 90°, 180°, and 270°), three seatbelt force limiting (2.6 kN, 3.6 kN, and 4.6 kN), and three collision types. Injury risks were assessed including the child occupant's head, neck, chest/abdomen, and lumbar region in each simulation (n=540). The results indicate that the child anthropometry, the seatback angle, and the seat rotation angle have a significant influence on the motion responses. Statistically significant differences between all the groups within each independent variable category were
Wang, Yanxin, Zhao, Hongqian, Li, Haiyan, He, Lijuan, Cui, Shihai, Lv, Wenle
Integrated Effects of Suspension Geometry and Tire Pattern Design on Vehicle Pull Reduction under Acceleration in High-Performance and Electric Vehicles2026-01-0593To be published on 04/07/2026
Torque steer is a phenomenon that is more prominently observed in high-performance vehicles and electric vehicles (EVs). This phenomenon occurs primarily due to asymmetric driveshaft angles, drivetrain structure, and suspension geometry. Additionally, tire characteristics, particularly lateral force (Tire Lateral Force), also play a significant role in affecting torque steer. Tire lateral force is strongly influenced by the contact patch dynamics and the geometric design of the tire tread pattern. This study focuses on analyzing the impact of tire tread pattern geometry on the relationship between torque steer and tire lateral force in such vehicles. Specifically, lateral force response variations (dfy/dfx) resulting from tread pattern block deformation were derived through finite element (FE) simulations. These simulations enabled the establishment of an analytical method for tread pattern evaluation and optimization. The developed characteristic parameter was validated by comparative
Yoon, Youngsam, Jang, Dongjin, Kim, Hyungjoo, Lee, Jaekil
Optimization of Lightweight Gear Blanks to Improve NVH for an Electric Drive Unit2026-01-0001To be published on 04/07/2026
A single-speed electric drive unit (eDU) with multi-stage reduction can have high gear whine due to high pitch-line velocity in the absence of engine masking noise. A comprehensive investigation is conducted focusing on the optimization of the first-stage transfer gear blanks to improve NVH performance and reduce mass for EV applications. A multibody dynamic model of the eDU was constructed, incorporating asymmetric gear blank geometry, shaft elasticity, bearing stiffness, and housing flexibility, in order to characterize realistic operating conditions and simulate gear contact mechanics with high fidelity and computational efficiency. NVH excitation sources, including static transmission error and dynamic meshing force, were systematically evaluated for solid and slotted gear configurations. Based on a DOE optimization study, an 8-slot gear blank design is selected to balance mass reduction, stress, NVH, and manufacturing requirements. Micro-geometry optimization was conducted for the
He, Song, Du, Isaac, Li, Bo, Bahk, Cheonjae, Grguras, Zachary, Baladhandapani, Dhanasekar, Patruni, Pavan Kumar
A Shared Autonomy Architecture: Utilizing an Advanced Personalized Control System (APeCS) and Shared Autonomy Arbiter (SAB)2026-01-0147To be published on 04/07/2026
The shared autonomy framework has become an option with great potential in the field of autonomous vehicles. Human and machine control decisions typically demonstrate strengths in different scenarios. As a result, the robustness of systems can be enhanced by the collaboration between humans and autonomy. A shared autonomy architecture that takes into account both human and environmental factors was proposed in this work. The authority distribution between the human operator and the autonomy algorithm was determined by the Shared Autonomy Arbiter (SAB). Designed with a two-tier structure, the SAB incorporated a policy-level decision module, as well as a numerical-level arbitration tuning module. A fuzzy inference system (FIS) was incorporated to enhance the noise tolerance of the policy selection module. Furthermore, the human factor was taken into account by applying a projection to the users’ control input. The human operator’s control decision was projected by the Adaptive
Sang, I-Chen, Norris, William, Patterson, Albert, Sreenivas, Ramavarapu S., Soylemezoglu PhD, Ahmet, Nottage, Dustin S.
Backward Fuzzy Driving Control for 6×4 Off-Road Vehicles2026-01-0148To be published on 04/07/2026
Offroad autonomous vehicle systems must be able to operate across unstructured and variable terrain while avoiding obstacles. This presents significant challenges in vehicle and control system design, especially for less conventional platforms such as 6x4 vehicles. While forward driving autonomy has developed and matured in recent years, effective reverse navigation remains an under-explored area of vehicle co-design. Reversing 6x4 vehicles have limited rear steering authority, an extended wheelbase, and asymmetric traction, which introduce complex dynamics into any control system that is used. To address this need, a robust and experimentally validated fuzzy logic control architecture for 6x4 reverse navigation was developed during the course of this project. This architecture incorporates both near-field and long-range path data with adaptive outputs controlling steering and velocity based on a rule base that covers the whole vehicle state space. This method has low computational
Dekhterman, Sam, Patterson, Albert, Sreenivas PhD, Ramavarapu, Norris, William, Soylemezoglu PhD, Ahmet, Nottage PhD, Dustin
Jute-Polyester Trim as a Novel Vehicle Upper Interior Head Impact Safety Countermeasure2026-01-0567To be published on 04/07/2026
A significant fraction of annual global human mortality is caused by severe head injuries resulting from vehicle crashes. In order to ensure upper interior head impact safety in vehicles, stiff upper body pillars are covered with plastic trims often along with internal countermeasures such as fin-type monolithic ribs. In the study being reported here, a consistent Computer-Aided Engineering (CAE) procedure employing explicit nonlinear finite element analysis has been demonstrated for predicting headform impact safety of a steel A-pillar component covered with a novel jute-polyester trim. Using simulation as mentioned combined judiciously with test data and physical reasoning, a number of jute-polyester trim configurations are considered by varying the number of jute plies, and packaging space between trim and A-pillar inner panel. Additionally, jute-polyester trims with internal ribs are considered. The current study reinforces the potential of a jute polymer composite as a vehicle
Karthika, M R, Deb, Anindya, Zhu, Feng
A Study on the Relationship between Impact Conditions and Head Injury Criterion (HIC) in Powered-Two-Wheeler to Car Crashes2026-01-0571To be published on 04/07/2026
Road Traffic crash statistics highlight the importance of reducing fatalities among Powered-Two-Wheeler (PTW) riders, and suggest the necessity of a robust method to evaluate PTW crashworthiness performance. The objective of this study is to clarify the relationship between impact conditions and the Head Injury Criterion (HIC) to establish a fundamental basis for determining representative crash configurations for safety. A total of 1,272 PTW-front to car-side impact simulations were conducted by using production car and PTW models. HIC was used as a metric indicating likelihood of head injury. Velocities, impact angle, and impact locations were varied to create response surfaces. The surfaces were evaluated in terms of their accuracy in identifying the representative impact conditions. In addition, head trajectories were analyzed to clarify the kinematics until head impact. The Finite Element (FE) simulations produced the following findings. - The HIC distribution by Head Impact
Yanaoka, Toshiyuki, GUNJI, Yasuaki, Zulkipli, Zarir Hafiz, Matsushita, Tetsuya, Carroll, Jolyon, Puthan, Pradeep, Mohd Faudzi, Siti Atiqah, D-Wing, Kak, Miyazaki, Yusuke
Peak SCR Efficiency for Ultra-Low NOx Using Electrically Heated Mixer for EU-VII and China-VII2026-01-0363To be published on 04/07/2026
Achieving ultra-low NOx emissions remains a major challenge in diesel emission control worldwide, especially as increasingly stringent regulations are introduced globally. Selective Catalytic Reduction (SCR), the leading NOx reduction technology in diesel systems, performs best when both heat and ammonia are available. At the same time, any proposed solution must also be cost-effective and economically viable. In this work, we present a low-cost Electrically Heated Mixer (EHM). EHM not only significantly reduces urea deposit formation, thereby lowering warranty costs and mitigating failure modes, but also enhances SCR efficiency, especially in challenging low-load conditions having low exhaust temperature. EHM is also ideal for rapid heat-up and urea injection during engine cold-start conditions ( <100 °C) enabling swift NH₃ formation and storage in the SCR catalyst. Additionally, it enables early urea injection (~ 130 - 150 °C), improving SCR efficiency in low temperatures below 200
Masoudi, Mansour, Poliakov, Nick
Dynamic Characterization and Viscoelastic Modeling of Polymer Foams for Automotive Applications2026-01-0236To be published on 04/07/2026
Viscoelastic behavior of polymeric materials serves as a critical indicator of their internal structure and chemical composition, offering valuable insights into energy absorption and dissipation mechanisms. This study focuses on the dynamic characterization of polymer foams through both experimental and numerical approaches, aiming to accurately capture their time and frequency dependent mechanical response. Experimental investigations include uniaxial tension and uniaxial compression, which characterize hyperelastic or instantaneous behavior of the material. Stress relaxation tests and Dynamic Mechanical Analysis (DMA) characterize the dependence on time, frequency and temperature. A combination of these tests is effectively utilized to create viscoelastic material models that can describe the material response as a function of time, frequency and temperature containing a viscous and an elastic part. This paper presents dynamic characterization of polymer foams in finite element
M, Gokula Krishnan, Lin, Chunfu, Savic, Vesna
Curb Impact: Non-linear structural FE analyses in Multibody Dynamics Models2026-01-0219To be published on 04/07/2026
In a few extreme customer abuse load cases such as Curb Impact and Potholes, automotive structures see non-linear (plastic) deformations as well as large rigid body motion. The load cases can be simulated by crash analysis tools such as LS-Dyna or multi-body dynamics analysis tools like Ansys Motion. The crash analysis has a better representation of structural compliances including large deformation with large rigid body motion. However, it requires a well-defined FE model and suspension multi-body models in detail. Furthermore, it takes a long time to get a result. On the other hand, the multi-body dynamics approach is very quick to get a result, while it has a limitation of representing structural compliance. The limitation is true in representing structural non-linearity such as large deformation associated with plastic yielding. In this study, a curb impact simulation was performed using the multi-body dynamic approach with nonlinear structural analysis capabilities included in
Hong, Hyung-Joo, Kim, Wangoo
Development of Automotive Hood Using Multi-Material Double Injection Molding2026-01-0476To be published on 04/07/2026
Introduction: The automotive hood is a critical closure component that must meet structural, safety, and styling requirements. Traditional metal hoods are increasingly being replaced or supplemented by polymer-based designs due to advancements in material technology and manufacturing methods. Among these, multi-material double injection molding presents a promising alternative to reduce production time and cost while achieving performance compliance. Aim: This study aims to develop an automotive hood using a hybrid plastic combination through a double-shot injection molding process. The focus is on evaluating the structural feasibility of such designs under regulatory and OEM-defined stiffness and crashworthiness performance targets. Purpose: The objective is to investigate the compatibility of different thermoplastic materials for outer and inner skin layers in achieving structural rigidity, impact resistance, and manufacturing efficiency. The approach targets the consolidation of
GANESAN, KARTHIKEYAN, Seok, Sang Ho, Jo, Hyoung Han
In-situ Decoupling and Stiffness Optimization of Resiliently Coupled Assemblies Using FRF-Based Substructuring2026-01-0227To be published on 04/07/2026
Road shake remains one of the most critical NVH challenges in light- and heavy-duty body-on-frame trucks, directly shaping ride comfort and perceived vehicle quality. At the heart of this issue are the body mounts, which govern the transfer of vibration between frame and body. Optimizing these mounts for improved road shake performance is therefore a key objective in NVH engineering. Traditionally, such optimization has relied on finite element analysis (FEA). While highly accurate, FEA—especially when performed with commercial solvers such as NASTRAN—demands enormous computational resources, with complete simulations often requiring hundreds of hours. Each design iteration multiplies this cost, restricting the pace and efficiency of NVH development. Recent methods such as response surface modeling (RSM) and machine learning (ML) have aimed to reduce the burden, yet they remain dependent on large libraries of pre-computed FEA data, inheriting much of the same expense and inflexibility
Haider, Syed, Abbas, Ahmad, Jahangir, Yawar, Maddali, Ramakanth
Numerical Investigation of Low Velocity Impact Perforation in Natural–Synthetic Hybrid Composites for Automotive Applications2026-01-0246To be published on 04/07/2026
The increasing demand for sustainable and lightweight materials in the automotive industry has accelerated interest in natural fiber reinforced polymer composites. However, their limited impact resistance restricts application in structural and crash-relevant components. This work presents a numerical investigation of the low velocity impact (LVI) and perforation behavior of jute (J) and flax natural fiber reinforced epoxy composites (N) and their glass fiber (G) hybrid forms with synthetic fiber reinforced epoxy laminates (S), using LS-DYNA. A finite element model, developed with a discounted ply approach and MAT54 damage model, was first validated against published experimental data for glass/epoxy laminates, showing strong correlation in peak load and energy absorption. The validated model was then extended to simulate bidirectional natural fiber and hybrid laminates under 2–10 J impacts, replicating typical energy levels relevant to low-speed collisions and road debris impacts in
Mache, Ashok, Pingulkar, Harshad, Ambhore, Nitin, Hujare, Pravin, Salve, Aniket
High Strain-Rate Behaviors of Fiber Reinforced Composites in Principal and Off-Axis Directions2026-01-0175To be published on 04/07/2026
Materials can exhibit significantly different mechanical behaviors compared to quasi-static conditions at high strain rates (> 100 s-1). High strain rate tests using setups such as SHPB (Split-Hopkinson Pressure Bar) can provide, in a practicable manner, the stress-strain relations for a material at high strain rates. Such properties are vitally needed for activities such as simulation-driven impact safety design of composite structures deployed in the form of automotive body parts and assembly, and other sub-systems. Although the behaviors of isotropic and ductile materials such as various metallic alloys appear to have been extensively studied and reported in literature, dependence of mechanical properties of fiber-reinforced composites especially in different off-axis directions are extremely difficult to come across. To fill up this void, a detailed experimental study has been carried out on high strain rate mechanical characterization of orthotropic glass, carbon and a natural
Bawa, Prashant, Deb, Anindya, Zhu, Feng
A Dataset for Visual Classification of Buldging Pouch Battery Cells2026-01-0393To be published on 04/07/2026
The rapid advancement of lithium-ion battery technologies, particularly pouch cells, has driven significant growth in electric vehicles, mobile devices, and renewable energy storage. However, pouch cells are especially susceptible to mechanical deformation and failure, including bulging caused by internal gas formation—a common indicator of cell aging or imminent failure. In this study, we developed a dataset of bulging pouch battery cells to support real-time diagnostics and safety monitoring in industrial and laboratory environments.
Alkawasmie, Mohammad, Farooqui, Saad, Algalham, Dheya, Rahman, Mahfilur, Challa, Karthikeya, Maxim, Bruce, Shen, Jie
Application of Fatigue Damage Criteria to CAE-Based Fatigue Life Prediction of a Welded Chassis Component2026-01-0232To be published on 04/07/2026
In recent years, computer-aided engineering (CAE) has become an essential practice in design and durability analysis of industrial components such as weldments. The current analytical trend for CAE-based fatigue life prediction of weldments includes procedures based on design guidelines, mesh-sensitive methods (e.g., local strain-life approach) and mesh insensitive methods (e.g., Volvo and Verity methods). As an inherent characteristic of weldments, the geometry of the weld is often simplified in failure analysis and important hotspots such as start/stop of the weld beads are not considered in designing process. However, such critical locations cannot be avoided in complex welded structures. Therefore, incorporating main geometrical details of the weld can improve the accuracy of critical regions identification and damage calculation using mesh-sensitive CAE-based methodologies. Herein, a framework for life prediction of welded components including the weld geometry is discussed and
Razi, Ahmad, Kim, Dooyoung, PARK, Jaehong, YOUK, Wansoo, Fatemi, Ali
Impact of Core Glue Coverage and Stacking Factor on Glue-laminated Motor Material Properties and Its NVH Behavior2026-01-0439To be published on 04/07/2026
The influence of core glue coverage and stacking factors on the mechanical properties of core material is investigated in this study. As these structural attributes of the motor directly affect the mechanical behavior of the e-drive system, such as the NVH and durability performance, their influence on NVH is also analyzed under electromagnetic loads. With the unit-cell method previously proposed for predicting laminated motor core material properties, the material used in the finite element analysis (FEA) model for the glue-laminated motor core is homogenized over the laminations and idealized macroscopically as a transversely isotropic material. A numerical FEA method to quantify the effect of the glue coverage rate and stacking factor in a statistical or averaged sense to establish their relationship with the linear transversely isotropic properties. The glue is assumed to be evenly distributed over the lamination plane, and changes in the in-plane and out-of-plane elastic modulus
Nie, Zifeng
Acoustic simulation for a vehicle audio system across the full audible frequency2026-01-0226To be published on 04/07/2026
Audio system is an important part of vehicle cabin for various purposes. In vehicle development process, it need be tuned for optimal acoustic performance. Traditionally, this process is performed physically on vehicles. In this paper, a methodology is developed to simulate the acoustic performance of the audio system across the full audible frequency range. To quantify the effectiveness, the p/v acoustic transfer functions of the sound pressures at passengers’ ears over the voltage inputs are measured for 12 different speakers in a production vehicle. As the sound perceived by the passengers depends on both the source and the path, the effort of the numerical study mainly concentrates on two aspects: characterization of the loudspeaker parameters and representation of cabin environment. The speaker parameters are characterized from the sound radiation data measured in 2pi chamber. To represent the vehicle cabin, pure finite element model is applied under 1k Hz while a hybrid FE-SEA is
Yang, Wenlong, Patra, Suresh, Hawes, David, Shorter, Phil
CFD-Based Investigation of Fuel Tank Sloshing: Crash Safety and Noise Concerns2026-01-0490To be published on 04/07/2026
A computational study using the Volume of Fluid (VOF) method in SimericsMP+ was conducted to investigate fuel sloshing in automotive fuel tanks under both crash and sudden stop conditions. The SEALs method was employed to rapidly generate the fuel tank mesh, enabling efficient simulation setup. At the outset, a benchmark sloshing case was simulated and compared against experimental data, showing excellent agreement to validate the simulation method. This simulation method was then applied to the fuel tank sloshing scenarios mimicking crash and sudden stop conditions. The study initially focused on a crash scenario where fuel waves impact valves, pumps, and other internal structures. Capturing these localized impact forces is critical for evaluating the risk of component failure and potential leakage. A baffle-equipped tank was simulated and compared with sensor data. Results show that the computed shock forces on valves and baffles closely matched the measurements, demonstrating the
Jia, Kun, Rahman, Ashique
Hybrid Computational Tire-Sand Interaction: A Tractive Effort and Rolling Resistance Analysis2026-01-0213To be published on 04/07/2026
This paper investigates the performance of a computational radial passenger car tire over winter road sand at different operating conditions. An experimental direct shear-strength test was conducted using winter road sand to obtain the density, internal friction angle and cohesion. A simulated direct shear-strength test was then validated in a Finite Element Analysis (FEA) software called Virtual Performance Solution (VPS) using a Smoothed-Particle Hydrodynamic (SPH) technique to model the sand. Once the sand was validated against physical testing data the sand was layered atop an icy road surface to understand the influence sand has on tractive effort and rolling resistance performance. With modelled and validated winter road sand and a Continental CrossContact LX Sport tire size 235/55R19, testing conditions were set up. The tire-sand interaction was simulated using a node-to-segment contact algorithm with edge treatment on a low friction surface for both the tire-road and the sand
Fenton, Erin, El-Sayegh, Zeinab
Development of Full Articulation Subsystem FEA Model for Validating Vehicle Suspension Durability2026-01-0190To be published on 04/07/2026
Vehicle durability is a cornerstone of automotive engineering, directly impacting customer satisfaction, brand reputation, and warranty costs. Traditionally durability validation of suspension systems often rely on virtual validation of individual components (an approach which can overlook complex non-linear system interactions) and followed by expensive full vehicle physical tests which happen very late in the vehicle development phase, which often results in correlation gap between virtual and physical realms, resulting in components redesigning and production delays. This paper presents a more efficient, high-fidelity, full-articulation suspension subsystem finite element (FE) model development specifically for durability assessments. This integrated model enables comprehensive block cycle durability assessments, providing a holistic understanding of system behavior and eliminating the inefficiencies of analyzing components in isolation. This methodology yields significant
Bavgi, Sai Kiran
Influences of Process Parameters on Residual Stress and Tensile Performance of Riveted Joints2026-01-0183To be published on 04/07/2026
The mechanical integrity and performance of riveted joints critically influence the reliability and safety of automotive structures. To investigate the effect of residual stress on the tensile behavior of riveted joints, this study firstly established a finite element model of the riveting process using Abaqus software. The model was validated using the thick-walled cylinder theory, and the distribution of residual stress around the rivet hole was subsequently analyzed. Orthogonal experiments were subsequently conducted to examine the influence of key process parameters including rivet spacing, hole diameter, and upset head height on tensile performance, yielding simulation results for both radial residual stress and maximum tensile load. Based on the finite element analysis results, XGBoost and Kriging surrogate models were established using four key parameters as input variables, namely rivet spacing, hole diameter, upset head height, and arrangement pattern, with radial residual
Shen, yunlong, Zhan, Zhenfei, Tang, Weiqin, Yang, Yutong, Xiao, yong, HUANG, SHIYAO
Rigid Two- and Three-Wheeled Vehicle Roll Over vs. Pitch Over Threshold Models: Testing and Analytical Modifications2026-01-0538To be published on 04/07/2026
The phenomenon of bicycle pitch over is simple in concept, yet determining threshold criteria for pitch over has yet to be well established, particularly when it comes to determining whether or not a bicycle’s front wheel will roll over a particular obstacle or not. Two prior SAE papers have laid out 3 different approaches to determining this threshold criteria; however, all three remain untested and thus unvalidated. To test the two analytical models, the dimensions and center of gravity location for a test rider on a tricycle were measured, and the test subject system was ridden over a series of progressively taller square edge obstacles until the tricycle transitioned from rolling over to stopping/pitching over. The test speeds were varied between 5 and 10 mph to keep the tricycle from fully pitching over and/or damaging the test tricycle. From this testing, it was demonstrated that the test tricycle and rider was able to ride over taller obstacles than calculated by the analytical
Sweet, David Michael, O'Brien, Nathan, Bretting, Gerald
A Proposed Methodology for Human Operator Modeling and Development of a Virtual Operator Model for Control of a Simulated Compact Track Loader2026-01-0146To be published on 04/07/2026
A methodology for performing Human Operator Modeling (HOM) using a Caterpillar Model 299D3 XE Compact Track Loader (CTL) is presented. The proposed method uses task analysis techniques to decompose a material excavation and moving task into smaller, individual tasks presented in a task list. A method for verifying and refining the task list is presented, along with a procedure for identifying relevant human operator sensory information and analyzing human decision making in the context of CTL operation. This methodology is then partially verified through the analysis of a non-expert human operator in Vortex Studio, a realistic construction equipment simulator. A modified test course is executed by a non-expert human operator in the simulation environment, and the recorded data is used to create a quantitative Human Operator Model. From this, a Virtual Operator Model (VOM) feedback controller simulating the performance of the human operator is developed. The VOM is implemented using a
Wang, Orson R., Norris, William R., Patterson, Albert E., Soylemezoglu, Ahmet, Nottage, Dustin S.
Data-Driven Objective Road-Driving Classification For Durable Design Of Vehicles2026-01-0181To be published on 04/07/2026
Durability development in the automotive industry depends on a clear understanding of how road surfaces and driving characteristics affect structural road loads and fatigue. Traditionally, road surface classification has been subjective (e.g., city, highway, rural), and done through driving instrumented vehicles over a small selection of roads. The variations in driving characteristics that are often consequent to the road surface quality is rarely accounted for in designing vehicle level durability tests. This makes it difficult to establish targets for the durability testing that accurately match the wide variations in real-world roads and driving across the market of vehicles. This paper presents a data-driven approach to objectively classify road surface and driving characteristics using metrics derived from existing vehicle and road response metrics like Vibration Dose Value (VDV), International Roughness Index (IRI) and statistical estimates of vehicle speed and acceleration
Shaurya, Shubham, Ramakrishnan, Sankaran, Demiri, Albion, Khapane, Prashant
Analysis of the biofidelity of aPLI under low-speed collision conditions2026-01-0551To be published on 04/07/2026
Abstract: With the increasing popularity of automotive active safety systems, the probability of collisions between vehicles and pedestrians has gradually decreased. Among them, the AEB system, as an important part of active safety systems, can actively intervene to avoid collisions in advance. However, in actual road traffic conditions, there are still situations where the AEB system cannot completely avoid collision accidents, and the impact speed between pedestrians and vehicles may drop to below 40 kph. However, the aPLI legform impactor, which is widely used in pedestrian protection evaluations in various regions, has a standard impact speed of 40 kph in the test procedure. The response of the aPLI to low-speed collisions and the resulting pedestrian leg injuries is still unclear. Based on finite element simulation, this study compared the kinematic responses and injury responses of the aPLI impactor with human body models (THUMS and GHBMC) under 5 different speeds (20kph, 25kph
Sun, Bowen, YE, BIN, LONG, YONGCHENG, Zhan, Zhenfei, shi, Xinxin, jun, yin
Simulation verification and design guide for P1+P2 hybrid built-in damper system2026-01-0006To be published on 04/07/2026
Among the hybrid system methods, the TMED (Transmission mounted electric device) method is divided into the TMED-1 system driven by the existing mass-produced P0+P2 motor and the TMED-2 system driven by the P1+P2 motor. It is known that the TMED-2 method improves power and fuel efficiency by about 10% or more compared to the TMED-1 due to the intervention of the P1 motor, and that carbon emissions can be reduced due to the improvement of engine thermal efficiency. However, the TMED-2 system is a structure that replaces the P0 motor with the P1 motor to improve power performance and transmission efficiency. The P1 motor is disadvantageous in terms of mountability due to its longer overall length compared to the P0. To solve this problem, the existing external damper system was designed and shaped to be assembled into the inner space between the P1 and P2 motors (built-in damper system), thereby securing mountability. The main development item that our company is currently researching is
Sun, Hyang Sun, GANESAN, KARTHIKEYAN
Development and Validation of a Self-Propelled Trailer: A Standards-Based Approach to Enhancing Compact Vehicle Towing2026-01-0055To be published on 04/07/2026
This paper presents a structured test plan for the development and validation of a Self-Propelled Trailer, an emerging concept designed to enhance the towing capacity of compact, fuel-efficient vehicles. Unlike conventional trailers, the proposed system integrates a drivetrain in the trailer, which could consist of either electric propulsion or some other type of power source. It also includes sensing capabilities in the trailer hitch to determine what the effort provided by the towing vehicle is, along with a control system to use this data to appropriately modulate the power provided by the trailer. This autonomous system will actively assist the towing vehicle, reducing engine load and improving fuel economy. Safety, however, is a critical factor in a successful design for such a system, and appropriate testing needs to be planned and carried out as the system is developed. The methodology to do so employs a Design Failure Mode and Effects Analysis (DFMEA) to systematically identify
Reilly, Carter, Peters, Diane, Zadeh, Mehrdad
Analyzing Fastened Joints in Hydraulic Dampers using Simulation and Experimental Methods2026-01-0585To be published on 04/07/2026
The main purpose of this study is to develop and validate an accurate calculation model for an unorthodox hydraulic damper piston joint, enabling reliable torque specification and clamp behavior without full prototype iteration. The joint features a bolted interface with a laminated shim stack of many thin disks with varying outer diameters. Analysis of such unorthodox joints are uncommon in literature, making the effects of load distribution truncation in the member stack due to varying outer diameters and surface contact effects between thin members during compression and torquing difficult to quantify. The model discussed in this paper is based on frustum load distribution combined with annular-plate bending and elastic-foundation effects to capture the effects of washer cupping. Concrete outputs of the calculator include member load distribution, bolt and member stiffnesses, torque-to-preload relationships, including friction factors and a variable effective-bearing-diameter, and
Dresen, Gabriel S., Vollmar, Race, Roy Chowdhury, Sourav
Risk analysis of occupant injuries with different lower limb postures during vehicle frontal impact2026-01-0572To be published on 04/07/2026
To investigate the biomechanical characteristics of injuries sustained by occupants with different lower limb postures during frontal impact, the human body finite element models- THUMS AM50 under standard sitting posture and sitting posutres with 100° calf bend, 90° calf bend, and crossed legs were analyzed in the frontal impact at 56 km/h. Injury biomechanical analysis demonstrates that the occupant under the sitting posture with crossed legs has the highest overall injure risk, e.g, the highest HIC (Head Injury Critirion) value, peak value of head accerelation, VC (Viscous Crterion) values, strain of the thracic organs, stress of pelvic cortical bone and knee ligments, and so on. In summary, different lower limb postures can affect the overall risk of occupant injury: the smaller the calf flexion angle and the more complex the leg posture, the higher the risk of overall injury. In the future study it is necessary to strengthen the protection of occupants in non-standard seating
Li, Dongqiang, jiang, Yejie, Tan, Chun, Li, Yanyan, HeQuan, Wu, Jiang, Binhui, Zhu, Feng
ML FMEA in Action: Lessons from Applications of Machine Learning Safety2026-01-0079To be published on 04/07/2026
Introducing machine learning (ML) into safety-critical systems presents a fundamental challenge, as traditional safety analysis techniques often struggle to capture the dynamic, data-driven, and non-deterministic behavior of learning-enabled components. To address this gap, the Machine Learning Failure Mode and Effects Analysis (ML FMEA) methodology was developed as an open-source framework tailored to ML-specific risks. This paper reports on the maturation of ML FMEA from an initial conceptual framework to a proven, practice-driven methodology. We make four primary contributions. First, we extend the ML FMEA pipeline with two new stages: a “Step Zero” for problem definition and system-level hazard analysis, and a “Step 5” for constructing ground truth or reward signals. Autonomous vehicle and humanoid robot applications are presented to illustrate the practical application and safety benefits of these additions. Second, we introduce tailored Severity, Occurrence, and Detection
Schmitt, Paul, Ward, David, Shinde, Chaitanya, Chalana, Akshay, Pennar, Krzysztof, Wagner, Michael, Poh, Justin, Seifert, Bodo, Mohammed, Majed, Lopez, Jerry, Wadhvana, Neil, Mannan, Fahim, Diemert, Simon
26M-00552026-01-0603To be published on 04/07/2026
Since air drag is proportional to the square of the speed, it is expected that reducing air drag will significantly improve fuel efficiency for long-distance trucks and buses, which are often driven at high speeds. Therefore, the purpose of this study is to propose a conceptual shape that will dramatically improve the aerodynamic performance of heavy-duty vehicles, assuming that restrictions on overall length will be relaxed in the future. Using NSGA-II, a genetic algorithm, the overall vehicle shape was optimized with the objective functions CD and CL values and design variables as parameters in a total of 13 locations. Among the Pareto solutions, CD = 0.08 was obtained when the CD value was the lowest. Since the CL value remains low with this shape, it can be seen that driving stability does not deteriorate. Among the design variables in optimization, it was confirmed that the corner radius of the vehicle side was particularly effective in reducing the CD value. In addition, when
Kawano, Daisuke
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