Browse Topic: Mining vehicles and equipment

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MINER’S SAFETY BOT2026-28-0116To be published on 02/12/2026
Mining remains one of the most hazardous industries, with workers constantly exposed to life-threatening conditions such as toxic gases, high temperatures, and confined spaces. To address these concerns, we propose the design and development of an autonomous Miner’s Safety Bot aimed at enhancing underground safety through real-time environmental monitoring and intelligent navigation. The system is built around the ESP32 microcontroller, integrating critical sensors including the MQ7 gas sensor for detecting carbon monoxide and methane, the DHT11 sensor for measuring ambient temperature, and an ultrasonic sensor for obstacle detection. These components work to monitor hazardous parameters and assist the bot in navigating through narrow mine shafts. A servo motor connected to a remote-controlled chassis adjusts the bot's direction when obstacles are detected. The bot employs the ESP32-CAM module to transmit live visuals from the mining site to external observers. Furthermore, sensor data
D, SUCHITRA, D, ANITHA, MUTHUKUMARAN, BALASUBRAMANIAM, MOHANRAJ, SIDDHARTH, SUBASH CHANDRA BOSE, ROHAN
Influence of Tipping Angles and Body Shapes on Payload Discharge Efficiency in Dump Trucks2026-26-0493To be published on 01/16/2026
The payload retention and material outflow pattern during the unloading process of dump trucks are critical factors influencing the efficiency and effectiveness of operations in construction and mining industries. This paper investigates the impact of tipping angles and the shape of the dump truck body on payload retention and outflow characteristics. Using FEA methodology, we explore the material outflow pattern for different body geometries such as box body, scoop body etc. for comparative analysis in order to optimize the shape for better & effective unloading. The results demonstrate a comparative estimation for an optimal body shape configuration to effectively unload payload and correlation of payload retention at various tipping angles.
Phukan, Prerna, Sahu, Hemant, Dave, Rajeev
Mobility Within Mines: Harmonization of Safety requirements for Underground Mining Trucks in India.2026-26-0140To be published on 01/16/2026
The need for energy is ever increasing, though the dependency on renewable energy have increased, it is not sufficient to cater the demand. India is one of fastest developing country which depends on coal 55% for its total energy need. To achieve coal digging & transportation an underground mining vehicle has gained high importance. Underground mine environment is inherently dangerous due to various factors, including explosive and toxic gases, dust, and the potential for collapses. Thereby vehicles running in coal mines requires extreme safety features to safeguard its operator & coal mine workers. In India Directorate General of Mines Safety (DGMS) directing standards & safety provisions for Diesel equipment's working under ground mines. This Paper is providing complete guideline for required safety features for the latest available technology in underground mining trucks. This paper will take you through various standards available globally to insure safety of the operator. Further
Babar, Sagar, Akbar Badusha, A
Static Rollover Stability Analysis of Heavy Tipper vehicle2026-26-0090To be published on 01/16/2026
Heavy tipper vehicles are primarily utilized for transporting ores and construction materials. These vehicles often operate in challenging locations, such as mining sites, riverbeds, and stone quarries, where the roads are unpaved and characterized by highly uneven elevations in both the longitudinal and lateral directions of vehicle travel. During the unloading process, the tipper bodies are raised to significant heights, which increases the vehicle's centre of gravity, particularly if the payload material does not discharge quickly. Such conditions can lead to tipper rollover accidents, causing severe damage to life and substantial vehicle breakdowns. To analyse this issue, a study is conducted on the vehicle design parameters affecting the rollover stability of a 35-ton GVW tipper using multi-body simulations in ADAMS software. The tilt table test was simulated to determine the table angle at which wheel lift occurs. Initially, simulations are performed with the rigid body model
Vichare, Chaitanya Ashok, Patil, Sudhir, Gupta, Amit
Comprehensive Durability Assessment of Planet Carrier in Heavy-Duty Tipper Gearboxes Using RLDA Torque Data2026-26-0443To be published on 01/16/2026
In heavy-duty tippers, where challenging conditions demand high torque, planet carriers play a crucial role by enabling efficient load distribution and torque transmission while supporting gear ratio and speed variation in space-constrained systems such as automatic transmissions, hybrid drivetrains, and electric vehicles. This paper focuses on the comprehensive durability performance assessment of planet carriers using duty cycles derived from RLDA measurements for a heavy-duty tipper gearbox development program. The existing Design Validation Plan (DVP) for the planet carrier considers first gear utilization of 10-15% at 40% vehicle overload, in line with historical data. However, recent trends in mining applications revealed vehicle overloads of 55-65%, leading to an increase in first gear utilization (25-35%). This shift presents challenges for OEMs to enhance design durability while incorporating additional safety margins to meet the demands of a competitive, cost-driven market
Bagane, Shivraj, Pendse, Ameya
A study of Electric motor configuration for Multi Axle Electric Heavy Duty Commercial Truck Application to attain maximum potential of Torque vectoring2026-26-0084To be published on 01/16/2026
As the air pollution level rises around the globe, the need for alternative sources of energy increases, and this need is applicable to automotive industry also. Commercial vehicles are one of the major sources of air pollution around the world as they have impactful applicability in our day to day life. With growing advancement in mobility solutions, commercial vehicles are undergoing transformation to improve efficiency, safety and performance. One of the emerging technologies is of torque vectoring which is a concept used to provide better traction and stability to the vehicle in different driving conditions and used in the vehicle having multi motor configuration. Advance torque vectoring concept coupled with electric motor can react to dynamic driving conditions by providing instant torque. The concept of torque vectoring can be useful for heavy commercial vehicles used in off-road applications such as mining because torque vectoring helps in better weight management, cornering
Agarwal, Pranjal, Chaudhari, Gitesh, Gangad, Vikas, Penta, Amar
Application of a Process Mining Tool for Three-Way Match Analysis in the Procure-to-Pay Process of a Multinational Auto Parts Company2025-36-023612/18/2025
Process mining emerges as a very important tool in the automotive industry to improve processes and increase efficiency. Its use allows the identification of bottlenecks and opportunities for improvement in production processes, contributing to increased productivity and cost reduction. This article aimed to evaluate the benefits of applying the Process Mining tool by conducting a Three-way match analysis in the Procure-to-pay (PTP) process of a company in the auto parts sector, seeking to identify opportunities for improvement. Analysis using process mining in PTP of the organization allowed us to identify significant number of cases of price discrepancies were observed in relation to orders related to services, being 2.5 times higher than orders related to materials. Additionally, quantity discrepancies represented 24% of the cases analyzed, compared to only 1.5% of price discrepancies. Of the materials involved in these price discrepancies, approximately 63% were not registered in
Junior, Osvaldo Vicente Jardim, Campos, Renato de, Franco, Bruno Chaves
Directional Drilling Planning and Mapping NomenclatureJ2583_202512 (Current)12/10/2025
This SAE Standard applies to planning and mapping various types of information associated with directional boring/drilling machines. This type of planning and mapping information is typically used with horizontal directional drilling (HDD) machines as defined by ISO 21467:2023.
MTC9, Trenching and Horizontal Earthboring Machines
Research on Modeling Method of Metro Passenger Flow Congestion Propagation with Dynamic Spatiotemporal Graph Convolutional Networks2025-99-045512/10/2025
With the rapid development of metro network operation, metro passenger flow congestion propagation occurs frequently. Accurately modeling passenger flow congestion propagation is crucial for alleviating metro passenger flow congestion and formulating corresponding control strategies. Traditional modeling methods struggle to effectively capture the complex spatiotemporal dependency relationships in metro networks. To improve the accuracy of congestion propagation modeling, this paper proposes a Dynamic Spatiotemporal Graph Convolutional Network (DSTGCN). The model integrates node attributes and temporal encoding through a dynamic adjacency matrix generation module, uses multi-head attention mechanisms to adaptively learn the time-varying propagation intensity between nodes, and combines static topology to construct dynamic adjacency matrices. A multi-scale spatiotemporal feature extraction module is designed, employing temporal convolution and spatial attention mechanisms to mine
Chen, Beijia, Wang, Junhang, Shao, Jiayu
Hydro-Pneumatic Suspension Optimization for Mining Explosion-Proof Vehicles in Underground Coal Mines2025-99-010611/11/2025
This study investigates the critical factors influencing the performance of hydro-pneumatic suspension systems (HPSS) in mining explosion-proof engineering vehicles operating in complex underground coal mine environments. To address challenges such as poor ride comfort and insufficient load-bearing capacity under harsh mining conditions, a two-stage pressure HPSS was analyzed through integrated numerical modeling and field validation. A mathematical model was established based on the structural principles of the suspension system, focusing on key parameters including cylinder bore (195–255 mm), piston area (170–210 mm), damping orifice diameter (7–8 mm), check valve flow area, and accumulator configurations (low-pressure: 1.2 MPa, high-pressure: 6 MPa). Experimental trials were conducted in active coal mines, simulating typical mining scenarios such as uneven road surfaces (120 mm obstacles), heavy-load gangue transportation, and confined-space operations in thin coal seams (<1.5 m
Song, Yan, Liang, Yufang
Self-Healing Biodegradable Composites for Off-Highway Vehicles in Extreme Environments2025-28-021111/06/2025
Off-highway vehicles (OHVs) frequently operate in extreme environments—ranging from arid deserts and frozen tundras to dense forests and abrasive mining zones—where structural wear, impact damage, and environmental stress compromise their material integrity. Frequent repairs and component replacements increase operational costs, downtime, and environmental waste, making durability and sustainability key concerns for next-generation vehicle systems. This paper explores a novel class of self-healing biodegradable composites, inspired by biological systems, to address these challenges. The proposed materials combine bio-based resins, microencapsulated healing agents, and shape-memory polymers (SMPs) to autonomously repair microcracks and surface-level damage when triggered by thermal, UV, or mechanical stimuli. The design draws inspiration from natural self-healing systems such as tree bark and reptile skin, replicating their regenerative behavior to enhance structural resilience in OHVs
Vashisht, Shruti
Optimizing Heavy-Duty Mining Operations with LNG Powertrains: Boosting Efficiency and Minimizing Environmental Impact2025-28-023611/06/2025
Heavy-duty mining is a highly demanding sector within the trucking industry. Mining companies are allocated coal mine sites, and fleet operators are responsible for efficiently extracting ore within the given timeframe. To achieve this, companies deploy dumper trucks that operate in three shifts daily to transport payloads out of the site. Consequently, uptime is crucial, necessitating trucks with exceptionally robust powertrains. The profitability of mining operations hinges on the efficient utilization of these dumper trucks. Fuel consumption in these mines constitutes a significant portion of total expenses. Utilizing LNG as a fuel can help reduce operational fuel costs, thereby enhancing customer profitability. Additionally, employing LNG offers the potential to lower the CO2 footprint of mining operations. This paper outlines the creation of a data-driven duty cycle for mining vehicles and the simulation methodology used to accurately size LNG powertrain components, with a focus
John, Ann Veena, Pendharkar, Koustubh
Cybersecurity: Applying Threat Modeling to Sensor-Control Architectures in Autonomous Off-Highway Vehicles2025-28-031611/06/2025
The rapid evolution of autonomy in Off-Highway Vehicles (OHVs)—spanning agriculture, mining, and construction—demands robust cybersecurity strategies. Sensor-control systems, the cognitive core of autonomous OHVs, operate in harsh, connectivity-limited environments. This paper presents a structured approach to applying threat modeling to these architectures, ensuring secure-by-design systems that uphold safety, resilience, and operational integrity.
Kotal, Amit
Onboard Exhaust Capture and Carbon Sequestration for Off-Highway Vehicles: A Sustainable Approach to Emission Reduction2025-28-021511/06/2025
Off-highway vehicles (OHVs) in sectors such as mining, construction, and agriculture contribute significantly to global greenhouse gas (GHG) emissions, particularly carbon dioxide (CO₂) and nitrogen oxides (NOₓ). Despite the growth of alternative fuels and electrification, diesel engines remain dominant due to their superior torque, reliability, and adaptability in harsh environments. This paper introduces a novel onboard exhaust capture and carbon sequestration system tailored for diesel-powered OHVs. The system integrates nano-porous filters, solid-state CO₂ adsorbents, and a modular storage unit to selectively capture CO₂ and NOₓ from exhaust gases in real time. Captured CO₂ is then compressed for onboard storage and potential downstream utilization—such as fuel synthesis, carbonation processes, or industrial sequestration. Key innovations include: A dual-function capture mechanism targeting both CO₂ and NOₓ Lightweight thermal-regenerative adsorption materials Integration with
Vashisht, Shruti
Off-Highway Electrification: A Case Study beyond Propulsion and Emission2025-28-022311/06/2025
To provide needs of food, clothing and infrastructure for growing population of the world, off-highway vehicles such as those in construction, agriculture and commercial landscaping are moving towards electrification for enhanced precision, productivity, efficiency and sustainability. It has also paved way to adopt autonomy of these vehicles to address challenges like skilled labour shortage for timely and efficient execution. There are many challenges and opportunities of electrification in off-highway domain, be it through completely replacing engine in vehicles or efficiency improvements using hybrid architecture for powertrain and auxiliary power demands, electrification being key enabler precision and speed of the complex operations, automation of complex operation. This paper explains the need of electrification in electric off-highway vehicles and shows how the electrification solves the current challenges faced by off-highway heroes like farmers, construction site owners and
Deshpande, Chinmay Vasudev, Mujumdar, Chaitanya, Bachhav, Kiran
Connected Aftermarket Services for Off-Highway Vehicles: Enhancing Fleet Management Through Real-Time Data and Predictive Maintenance2025-28-030711/06/2025
Off-highway vehicles (OHVs) are essential in heavy-duty industries like mining, agriculture, and construction, as equipment availability and efficiency directly affect productivity. In these harsh settings, conventional maintenance plans relying on set intervals frequently result in either early component replacements or unexpected breakdowns. This document presents a Connected Aftermarket Services Platform (CASP) that utilizes real-time data analysis, predictive maintenance techniques, and unified e-commerce functionalities to evolve OHV fleet management into a proactive and smart operation. The suggested system integrates IoT-enabled telematics, cloud-based oversight, and AI-powered diagnostics to gather and assess machine health indicators such as engine load, vibration, oil pressure, and usage trends. Models for predictive maintenance utilize both historical and real-time data to produce advance notifications for component failures and maintenance requirements. Fleet managers get
Vashisht, Shruti
Ensuring Functional Safety and SOTIF for Autonomous Off-Highway Vehicles: Addressing Risks in Complex Systems2025-28-031511/06/2025
The increasing complexity of autonomous off-highway vehicles, particularly in mining, demands robust safety assurance for Electronic/Electrical (E/E) systems. This paper presents an integrated framework combining Functional Safety (FuSa) and Safety of the Intended Functionality (SOTIF) to address risks in autonomous haulage systems. FuSa, based on ISO 19014[1] and IEC 61508[2], mitigates hazards from system failures, while SOTIF, adapted from ISO 21448[3] addresses functional insufficiency and misuse in complex operational environments. We propose a comprehensive verification and validation (V&V) strategy that identifies hazardous scenarios, quantifies risks, and ensures acceptable safety levels. By tailoring automotive SOTIF standards to off-highway applications, this approach enhances safety for autonomous vehicles in unstructured, high-risk settings, providing a foundation for future industry standards.
Kumar, Amrendra, Bagalwadi, Saurabh
Customer Support – Failure and Warranty Analysis in Off-Highway Vehicles2025-28-030011/06/2025
The reliability and durability of off-highway vehicles are crucial for industries like construction, mining, and agriculture. Failures in such machines not only disrupt operations but can also lead to significant economic losses and safety concerns. Effective failure and warranty analysis processes are essential to improve customer support, minimize downtime, and enhance equipment life cycle. This paper outlines a comprehensive 7-step failure analysis methodology tailored for off-highway vehicles, accompanied by warranty analysis using Weibull, 6MIS, and 12MIS IPTV. It details the process from problem identification through permanent solution implementation, emphasizing tools and techniques necessary for sustainable improvements. The structured approach provides an actionable blueprint for OEMs and service teams to enhance customer satisfaction, support sustainable development goals, and maintain regulatory compliance.
Mulla, Tosif, Thakur, Anil, Tripathi, Ashish
Decarbonizing Off-Highway Vehicles: Fuel Alternatives and Implementation Strategies2025-28-023011/06/2025
Off-Highway Vehicles (OHVs) — including mining trucks, construction machinery, and agricultural equipment — contribute significantly to greenhouse gas (GHG) emissions and local air pollutants due to their dependence on fossil diesel. Achieving sustainable development goals in off-highway sectors requires transitioning toward alternate fuels that can reduce CO₂, NOₓ, and particulate matter (PM) emissions while maintaining performance and reliability. This paper comprehensively evaluates alternate fuels such as biodiesel, renewable diesel, compressed and liquefied natural gas (CNG/LNG), liquefied petroleum gas (LPG), hydrogen, and alcohol-based blends. Using insights from Service Bulletins, fuel standards, and the Worldwide Fuel Charter, it discusses fuel properties, engine compatibility, operational challenges, sustainability impacts, economic feasibility, safety considerations, and regulatory aspects. Case studies of alternate fuel deployment in OHVs illustrate practical challenges and
Mulla, Tosif, Thakur, Anil, Tripathi, Ashish
Enhancing Diagnostic Efficiency and Customer Support for Off-Highway Vehicles in India2025-28-030111/06/2025
Off-highway vehicles (OHVs) are vital for India’s construction, mining, agriculture, and infrastructure sectors. With growing demand for productivity and sustainability, the need for efficient customer support and precise diagnostic techniques has become paramount. This paper presents a comprehensive study of challenges faced in India, current and emerging diagnostic technologies, troubleshooting techniques, and strategies for effective customer support. Case studies, tables, and diagrams illustrate practical solutions.
Mulla, Tosif, Thakur, Anil, Tripathi, Ashish
Environmental Factors and Off-Highway Vehicle Safety Abstract2025-28-032211/06/2025
Off Highway vehicles recreation has rapidly expanded across the globe hence it is important to consider the safety of off-highway vehicles which is significantly influenced by various environmental factors, which can pose unique challenges and risks. it is important to make sure that the entire vehicle operates safely and reliably even in the toughest conditions. This paper investigates the impact of environmental conditions on the safety and performance of off-highway vehicles, such as construction equipment, agricultural machinery, and mining vehicles. By examining factors such as terrain, weather conditions, visibility, and natural obstacles, the study aims to identify key hazards and propose strategies to mitigate them. The paper explores how advanced technologies, including digital twins and predictive analytics, can be leveraged to enhance safety measures and improve vehicle resilience in diverse environmental settings. Through comprehensive case studies and empirical data, we
Mogal, Masthanvali, Chennamalla, Chandra Shekar
Adaptive Terrain Morphing Chassis for Off-Highway Vehicles: Enhancing Fuel Efficiency through Dynamic Structural Adaptation2025-28-034211/06/2025
Off-highway vehicles (OHVs) routinely navigate unstable and varied terrains—mud, sand, loose gravel, or uneven rock beds—causing increased rolling resistance, reduced traction, and high energy expenditure. Traditional rigid chassis systems lack the flexibility to adapt dynamically to changing surface conditions, leading to inefficiencies in vehicle stability, maneuverability, and fuel economy. This paper proposes an adaptive terrain morphing chassis (ATMC) that can actively modify its structural geometry in real-time using embedded sensors, hydraulic actuators, and soft robotic elements. Drawing inspiration from nature and recent advances in adaptive materials, the ATMC adjusts vehicle ground clearance, track width, and load distribution in response to terrain profile data, thereby optimizing fuel efficiency and performance. Key contributions include: A multi-sensor fusion system for real-time terrain classification Hydraulic actuators and morphing polymers for variable chassis
Vashisht, Shruti
Rethinking VEHICLE CONTROLS25TOFHP10_0310/01/2025
Smarter control architectures including CAN- and LIN-based multiplexing can elevate operational efficiency, customization and end-user experience. From long-haul Class 8 trucks navigating cross-country routes to articulated dump trucks operating deep in a mining pit, the need for smarter, more reliable and more efficient control systems has never been more critical. Across both on- and off-highway commercial vehicle segments, OEMs are re-evaluating how operators interact with machines - and how those systems can be made more robust, flexible and digitally connected. Suppliers have responded to this industry-wide shift with new solutions that reduce complexity, improve durability and help customers future-proof their vehicle architectures. For example, Eaton's latest advancement is the E33 Sealed Multiplexed (MUX) Rocker Switch Module (eSM) - a sealed, modular switch solution that replaces traditional electromechanical designs with a multiplexed digital interface. Combined with Eaton's
Ortega, Carlos
A Control Strategy of Path Tracking for Unmanned Mining Truck Based on Model Predictive Control and Considering Steering Delay10-09-04-003708/22/2025
To achieve accurate and stable path tracking for unmanned mining trucks in the face of changing paths and response delays in steering, this study raised a lateral control strategy for unmanned mining trucks based on MPC and considering steering delay response characteristics. Under the basis of deriving the state space equation from the commonly used two degrees of freedom truck dynamics model, this method introduces the dynamic relationship between steering angle issuance and actual response to form an augmented form of state vector to overcome the control instability caused by steering response delay. Then, based on the MPC method, a constrained objective function is constructed to solve for the optimal control law. In response to the problem of inaccurate selection of prediction and control time domains, this article proposes an adaptive selection method for prediction and control time horizon based on a modified particle swarm optimization (MPSO) algorithm, which obtains the
Mao, Libo, Wu, Guangqiang, Gui, Yuhui
EDITORIAL: Tech - and tariffs - top of mind at tradeshows25TOFHP06_0506/01/2025
April saw two major tradeshows take place, playing host to numerous advanced vehicle and technology reveals from global OEMs and suppliers - some of which are detailed in these pages. Bauma in Munich, Germany, a leading trade fair for the construction and mining vehicle industries, saw around 600,000 visitors from more than 200 countries and regions, as well as over 3,600 exhibitors from 57 nations. Billed as the largest advanced CV technology show, ACT Expo engaged more than 12,000 stakeholders from at least 54 countries, including over 2,700 fleet operators. But just as present as the technology itself at these shows was the ongoing uncertainty stemming from the Trump administration's volatile trade policy announced on April 2 involving steep tariffs that have been adjusted frequently in the ensuing weeks.
Gehm, Ryan
SAE Truck & Off-Highway Engineering: April 202525TOFHP0404/10/2025
Designs on a diverse powertrain future Perkins details range of development efforts to power future off-highway machines, from clean-sheet diesel to hybrid-electric and hydrogen combustion. Autonomous trucking tech hits high gear While some developers of autonomous technology for commercial trucks have stalled out, there's renewed energy to deliver augmented ADAS and automated driving systems to mass production. Autonomous quarry haulage in high demand Komatsu works with Pronto to upfit a growing fleet of haul trucks operating at Komatsu's Arizona Proving Grounds and customer sites. Editorial Hydrogen is hitting some headwinds Cummins unveils new B7.2 diesel engine Artificial intelligence being schooled for mining applications FPT's 37-kWh battery pack dives into marine market Mitsubishi Fuso repurposes EV batteries for energy storage systems First drive: REE Automotive's electrifying P7 delivery chassis Kalmar launches 3rd-gen electric terminal tractor Product Briefs SPOTLIGHTS
AUTONOMOUS QUARRY HAULAGE in high demand25TOFHP04_0304/01/2025
Komatsu works with Pronto to upfit a growing fleet of haul trucks operating at Komatsu's Arizona Proving Grounds and customer sites. At Komatsu's Quarry Days 2025 event at its Arizona Proving Grounds (AZPG) outside of Tucson, dealers, customers and media got the opportunity to operate Komatsu mining and construction equipment, learn about its latest technology innovations and talk to product experts. A highlight of the event was the first public demonstration of Komatsu's HD605-10 haul truck outfitted with Pronto's Autonomous Haulage System (AHS), spotlighting the equipment maker's partnership with the AI tech startup to pilot autonomous quarry haulage operations. Several HD605-10 trucks have been equipped with AHS as part of this program currently being tested by quarry operators in Texas. The AZPG site currently has just the one automated truck.
Gehm, Ryan
Artificial intelligence being schooled for mining applications25TOFHP04_0604/01/2025
A battery-electric Honda midsize SUV entering production in early 2026 will use Helm.ai's artificial intelligence to facilitate conditional automated driving. The start-up firm's AI technology could soon see its first off-highway application. “Different driving environments look pretty much the same from an engineering perspective, so the lessons we've learned from [passenger vehicle] autonomous driving can be brought to the mining space in a fairly seamless fashion,” Vladislav Voroninski, cofounder and CEO of Helm.ai, said in an interview with SAE Media.
Buchholz, Kami
Designs on a diverse POWERTRAIN FUTURE25TOFHP04_0104/01/2025
Perkins details range of development efforts to power future off-highway machines, from clean-sheet diesel to hybrid-electric and hydrogen combustion. Many manufacturers in the construction and mining vehicle sectors have tabbed the Bauma trade show in April as the venue for major product debuts. Perkins is one of those, though it provided select media an overview of its latest powertrain developments and projects at a pre-Bauma briefing in early February. Hydrogen and hybrids were a large part of the discussion at the London media event, but Perkins began the day expounding on good old diesel-engine development. The company's engineers are still working hard to strengthen - and streamline - its diesel portfolio, all while readying new platforms for other fuels and applications.
Gehm, Ryan
Critical Minerals Recovery from Electronic WasteTBMG-5264203/01/2025
There’s some irony in the fact that devices that seem indispensable to modern life — mobile phones, personal computers, and anything battery-powered — depend entirely on minerals extracted from mining, one of the most ancient of human industries. Once their usefulness is spent, we typically return these objects to the Earth in landfills, by the millions.
Adaptive Localization Algorithm for Autonomous Mining Trucks with Motion Distortion Removal2025-01-702701/31/2025
During the operation of autonomous mining trucks in the process of crushing stones, the GPS signal is lost due to signal blockage by the crushing workshop. Simultaneous Localization and Mapping (SLAM) becomes critical for ensuring accurate vehicle positioning and smooth operation. However, the bumpy road conditions and the scarcity of plane and corner feature points in mining environments pose challenges to SLAM algorithms in practical applications, such as pose jumps and insufficient positioning accuracy. To address this, this paper proposes a high-precision positioning algorithm based on inertial navigation 3D signals, incorporating point cloud motion distortion correction, a vehicle roll model, and an Adaptive Kalman Filter (AKF). The goal is to improve the positioning accuracy and stability of autonomous mining trucks in complex scenarios. This paper utilizes real-world operational data from mining vehicles and adopts a 3D point cloud motion distortion correction algorithm to
Meng, Chunyang, Song, Kang, Xie, Hui, Xing, Wanyong
Drain, Fill, and Level Plugs for Off-Road, Self-Propelled Work MachinesJ371_202501 (Current)01/21/2025
This SAE Recommended Practice applies to off-road, self-propelled work machine categories of earthmoving, forestry, road building and maintenance, and specialized mining machinery as defined in SAE J1116.,
Machine Technical Steering Committee
Critical Minerals Recovery from Electronic WasteTBMG-5233501/01/2025
There’s some irony in the fact that devices that seem indispensable to modern life — mobile phones, personal computers, and anything battery-powered — depend entirely on minerals extracted from mining, one of the most ancient of human industries. Once their usefulness is spent, we typically return these objects to the Earth in landfills, by the millions.
Digital Twin-Enabled Fault Detection for Suspension Systems in Autonomous Mining Haulage Vehicles2024-36-017012/20/2024
Autonomous vehicles for mining operations offer increased productivity, reduced total cost of ownership, decreased maintenance costs, improved reliability, and reduced operator exposure to harsh mining environments. A large flow of data exists between the remote operation and the ore haul vehicle, and part of the data becomes information for the maintenance sector which it monitors the operating conditions of various systems. One of the systems deserving attention is the suspension system, responsible for keeping the vehicle running and within a certain vibration condition to keep the asset operational and productive. Thus, this work aims to develop a digital twin-assisted system to evaluate the harmonic response of the vehicle’s body. Two representations were created based on equations of motion that modeled the oscillatory behavior of a mass-damper system. One of the representations indicates a quarter of the ore transport truck’s hydraulic system in a healthy state, called a virtual
Rosa, Leonardo Olimpio, Branco, César Tadeu Nasser Medeiros
SAE TOMORROW TODAY: Scaling Connected Vehicles with Over-The-Air Updates1349212/18/2024
As the automotive world shifts toward fully software-defined vehicles (SDVs), many OEMs are hesitant to embrace a consumer-driven model for over-the-air (OTA) updates. Enter Sibros, a company offering holistic OTA software that enables automakers to achieve scalable, software-defined mobility. By providing AI-powered insights that deliver continuous product and service enhancements, OEMs can harness Sibros' single no-code platform to monitor, control and optimize SDVs, thus accelerating time-to-market, reducing code defects and enabling hundreds of connected vehicle use cases at global scale. This presents unique value for consumers, OEMs, commercial fleet operators, and even off-road sectors like agriculture and mining. To learn more, we sat down with Hemant Sikaria, CEO & Co-Founder, Sibros, to discuss the impact of his company's groundbreaking technology, how insurance and regulation come into play, and the importance of robust security measures to ensure the responsible growth of
Hineman, Marcie
Optimizing the Capacity of Dozer Blade with Hydraulic Foldable Wings to Enhance Productivity2024-28-026812/05/2024
Crawler Dozers play a critical role in global construction, mining and industrial sectors, performing essential tasks like pushing the material, grading, leveling and scraping. In the highly competitive dozer market, meeting the growing demand for increased productivity requires strategies to enhance blade capacity and width. Dozer operations involve pushing the material and dozing, where blade capacity significantly influences performance. Factors such as mold board profile, blade height, and width impact the blade capacity which are crucial for productivity in light weight applications such as snow removal and dirt pushing. Blade width is also pivotal for grading and leveling tasks. Traditional blade designs, like straight or fixed U-type blades, constrain operator flexibility, limiting overall productivity. The integration of hydraulic-operated foldable wings on both sides of the blade offers the adaptability to adjust blade capacity which also helps to reduce material spillage
Sahoo, Jyoti Prakash, Sarma, Neelam Kumar
EDITORIAL: Bauma the big one in 202524TOFHP12_0412/01/2024
December is a good time to reflect on the past year - to celebrate successes and consider opportunities for improvement - but it is also an opportune time to look to the future. As I think about the year ahead and appraise the tradeshow landscape that'll provide significant content for this magazine, mobilityengineeringtech.com, our e-newsletters and other multimedia products, none is bigger than Bauma in Munich, Germany, particularly in terms of the global construction and mining vehicle industries. The triennial event will cover an area that's equivalent to 86 soccer fields, according to Stefan Rummel, CEO of Messe München GmbH. Speaking to the press during an October virtual preview of Bauma 2025, which takes place from April 7-13, Rummel said that the number of exhibitors - expected to be about 3,600 - will be closer to the 2019 event versus the post-COVID-19 edition that was pushed back from its usual spring timeslot to the fall of 2022.
Gehm, Ryan
Komatsu employs ‘slick’ battery swapping for underground LHD machine24TOFHP12_1012/01/2024
Komatsu introduced its first battery-electric load-haul-dump (LHD) machine, the WX04B, at the MINExpo tradeshow in September. The WX04B is designed specifically for narrow vein mines in underground hard rock mining operations. Komatsu is pairing the electric LHD with its new OEM-agnostic 150-kW battery charger that was also revealed in Las Vegas. The 4-tonne WX04B LHD features what Komatsu claims is best-in-class energy density, offering up to four hours of runtime on a single charge. The Li-ion NMC (nickel-manganese-cobalt) battery from Proterra has a capacity of 165 kWh and nominal voltage of 660 V. Fewer charge cycles are needed compared to competitors, the company claims, which helps to maximize operational efficiency and minimize downtime. Proterra and Komatsu began their collaboration on the LHD's H Series battery system in 2021, long before Komatsu's acquisition of American Battery Solutions (ABS) in December 2023.
Gehm, Ryan
IMPROVING THE AGELESS ICE24TOFHP12_0212/01/2024
Clean-burning fuels, aftertreatment and other innovations place the heavy-duty combustion engine on a low-carbon emissions trajectory. Agriculture, industrial, mining, construction, freight transport and other major global economy sectors rely on vehicle power to thrive. “Internal combustion engines - those powered by gasoline, diesel, natural gas or propane - really are key to our current economy, and we see [the ICE] as a key part of our energy future,” Allen Schaeffer, executive director of the Engine Technology Forum, a U.S.-based educational organization, said during a September webinar. Hosted by the Engine Technology Forum, the “Taking Internal Combustion Engines to the Next Level” session focused on current and under-development innovations aimed at increasing engine efficiency and lowering emissions.
Buchholz, Kami
Continuous Curvature Parking Path Planning for Unmanned Mining Trucks Using Transition Curves and Model Predictive Control02-18-01-000311/15/2024
Geometric methods based on Reeds–Shepp (RS) curves offer a practical approach for the parking path planning of unmanned mining truck, but discontinuous curvature can cause tire wear and road damage. To address this issue in mine scenario, a continuous curvature parking path planning method based on transition curve and model predictive control (MPC) is proposed for mine scenarios. Initially, according to the shovel position information issued by the cloud dispatching platform, a reference line is planned using RS curves. In order to mitigate the wear and tear of the tires and the damage to unstructured roads due to the in situ steering caused by the sudden change of the curvature, a transition curve consisting of clothoid–arc–clothoid that satisfies the kinematics of continuous vehicle steering is designed on the basis of RS curves to achieve the continuity of road curvature, which will contribute to the economy of tire and handling performance. The calculation of Fresnel integral
Zhang, Haosen, Chen, Qiushi, Wu, Guangqiang
Potential of Serial Hybrid Powertrain Concepts towards Decarbonizing the Off-Highway Machinery2024-37-001806/12/2024
Today’s engines used in Agriculture, Mining and Construction are designed for robustness and cost. Here, the Diesel powertrain is the established mainstream solution, offering long operation times without refueling at any desired power rating. In view of the steps towards Carbon Neutrality by 2050, this segment of the Transportation Sector needs to reduce its CO2 emissions. Currently, the EU and US emissions legislations (EU Stage V / EPA Tier4) do not include a CO2 reduction scheme, but this is expected to change with the next update towards EU Stage VI / EPA Tier5 coming into effect 2030 and after. Applications demanding high power or long operational range still require the use of renewable, liquid fuels or hydrogen. The cost-up of such fuels could be counterbalanced by more efficient engines in combination with a hybridized powertrain. The current paper therefore introduces a serial HEV solution for a large wheel loader application of 12t tipping load, which is an example of a
Weber, Jost, Schatorje, Jesper, Frekers, Yona, Herrmann, Olaf, Gries, Rafael
Modine Targets Off-Highway EVs with ‘Plug-and-Play’ BTMSTBMG-5088906/01/2024
Deutronic is not alone in developing and integrating thermal-management solutions to meet the specific demands of off-highway EVs. Modine, for example, in 2023 launched a new edition of its EVantage battery thermal-management system with a liquid-cooled condenser (L-CON BTMS) that combines proprietary heat-exchanger technology with smart controls and electronics. The system is designed to withstand harsh environments found in mining, construction, agriculture, specialty and transportation applications, according to Mike Kis, Director of Advanced Thermal Systems at Modine.
Pantograph Optimization Design Based on the Model of Mining Truck-Road-Pantograph2024-01-231804/09/2024
This study focuses on the operation of trolley-assisted mining truck, which leverage overhead lines for uphill propulsion, substantially reducing fuel consumption and carbon emissions. The pantograph mounted at the truck body's front exhibits complex vibrational behavior due to the subgrade stiffness and the nonlinearities of the hydro-pneumatic suspension. Vertical dynamic model of the mining truck is constructed which considering the road conditions and suspension characteristics to illustrate the pantograph's contact force. The vibration characteristic of pantograph base is analyzed which using the spatial transformation relationship between the truck's center mass of gravity and the base of pantograph. The stiffness of pantograph is designed based on a pantograph-catenary system model considering different road conditions. The real mining truck is modeled in the Trucksim software to obtain the vibration of pantograph base. And the effectiveness of the pantograph stiffness can be
Qian, Shuo, Shen, Yanhua, Wang, Kaidi, Liu, Zuyang
Evaluation of Incentive Policy for Intelligent Construction in Shenyang Based on Policy Modeling Consistency Index Model2024-01-502402/21/2024
Intelligent construction has become an important way to accelerate the transformation and upgrading of the construction industry and promote the high-quality development of the construction industry. As a national pilot city of intelligent construction, Shenyang needs effective policy system support for the development of intelligent construction. Quantitative research of policy text can provide a decision-making basis and path optimization suggestions for formulating and improving intelligent construction incentive policies (ICIP) in Shenyang. This study uses text mining and the Policy Modeling Consistency index (PMC index) model to construct an intelligent construction policy index system. Then it combines the PMC index and PMC surface to evaluate and analyze the text of ICIP in Shenyang quantitatively. The results show that there is still room for improvement in the ICIP in Shenyang. Accordingly, countermeasures and suggestions are put forward for policymakers, enterprises, and
Qi, Yizhuoyan, Li, Lihong, Kong, Fanwen
Design, Analysis, and Optimization of Off-Highway Rear Dump Truck Chassis Frame Rail Profile Using Design Exploration and Finite Element Analysis Technique02-17-02-000801/31/2024
During mining material hauling, the chassis frame structure of rear dump trucks is subjected to fatigue loading due to uneven road conditions. This loading often leads to crack propagation in the frame rails, necessitating the determination of stresses in the critical zone during the design stage to ensure structural integrity. In this study, a computer-aided engineering (CAE) methodology is employed to size and select the rectangular profile cross section of the chassis frame rail. A detailed design investigation of the chassis frame is conducted to assess its load resistance, structural flexibility, and weld joint fatigue life under critical stresses arising from combined bending and torsion loads. The optimization process aims to determine the optimal rail size and material thickness, striking a balance between minimizing mass and maximizing structural reliability. By achieving this, the risk of major structural failures during the transportation of large payloads can be
J, Avinash
Retained Newness of Commercial Vehicle Interiors2024-26-018801/16/2024
Commercial vehicle are exposed to harsh environment conditions like dust, mud, wind, rain, extreme sun and winter throughout. Apart from white goods and other conventional loading these vehicles also used in applications which involve Handling of Dirty Loads, Construction Raw materials, Mining Industry etc. which leads to fast deterioration of Interiors. Also, in most cases drivers are not the owners. Hence due to high cost of Cleaning at dealerships and low Product maintenance awareness amongst Commercial Vehicle Users, on Road Washing & Cleaning by riverside is common practice which leads to early deterioration of Interior trims. This paper deals with the retention of newness of soft trim parts such as headliner, wall trims and carpets. Causes of product deterioration and attributes which influence newness like product appeal, NVH, perceived quality, environmental impact, geometry retention over time etc. have been discussed in detail. Material properties and design considerations
Shah, Kapil, Apte, Sanjay, Navsariwala, Prashant, Kumar, Sunil, Komar, Sanju, Ghodageri, Santosh, Surendran, Shiju
Regulatory Framework of Construction Equipment Vehicles in India2024-26-008901/16/2024
The Construction & Mining field is continuously upgrading, reshaping under the stimulus of technical enhancement. India is considered one of fastest growing country in the word. Requirement for Construction Equipment Vehicles in India is continuously growing due increased rate infrastructure development. To promote development of the Construction Equipment Vehicles (CEV’s) manufacturing sector it was also necessary to build a new governance architecture. Every vehicle plying on road has to comply with Central Motor Vehicle Regulatory requirements as per CMVR act 1989. Earlier 2021 CEV’s were required to go through performance trials like brake, steering effort, turning circle measurement, speedometer calibration as dynamic tests as per regulations. It was need of the time to come with stringent norms or for better safety of operators & take CEV compatible international regulation. this paper puts forward the basic principles & safety requirements improved for CEV’s over the time
Babar, Sagar, Akbar Badusha, A
Development of an Accelerated Powertrain Durability Cycle for Mining Dozers: Integration of Customer Usage Patterns and Road Load Data2024-26-009001/16/2024
Mining dozers are heavy-duty machines that operate in harshenvironments and under extreme loads. The durability of their powertraincomponents is critical for their performance and reliability. To ensure thedurability of these components, they need to be tested under realisticoperating conditions. However, field testing is time-consuming, costly andoften impractical due to the limited availability of test sites and machines.Therefore, there is a need to develop an accelerated durability cycle that cansimulate the field conditions in a laboratory setting. This paper presents amethodology to develop an accelerated powertrain durability cycle for miningdozers based on the integration of customer usage patterns and road load data. The methodology consists of the following steps: system study to identifythe powertrain components and their failure modes; instrumentation of arepresentative mining dozer with sensors and data acquisition system; datacollection from field testing for mining
Tripathi, Ankur, Vishe, Prashant Eknath, Ghosh, Ratnadeep
Coupled FEM-DEM for Determination of Payload Distribution on Tipper Load Body2024-26-025501/16/2024
Tippers used for transporting blue metal, construction and mining material is designed with different types of load body to suit the material being carried, capacity and its application. These load bodies are constructed with high strength material to withstand forces under various operating conditions. Structural strength verification of load body using FEM is conducted, by modelling forces due to payload as a pressure function on the panels of the load body. The spatial variation of pressure is typically assumed. In discrete element method (DEM) granular payload material such as gravel, wet or dry sand, coal etc., can be modelled by accounting its flow and interaction with structure of load body for prediction of force/pressure distribution. In this paper, coupled FE-DEM is used for determining pressure distribution on loading surfaces of a tipper body structure of a heavy commercial vehicle during loading, unloading and transportation. This pressure is mapped onto the load body
Sadasivam, Sivasankaran, Loganathan, Ekambaram, Mahalingam, Manikandan
Lateral Control for Driverless Mining Trucks with the Consideration of Steering Lag and Vehicle–Road States02-17-01-000412/14/2023
Lateral control is an essential part of driverless mining truck systems. However, the considerable steering lag and poor tracking accuracy limit the development of unmanned mining. In this article, a dynamic preview distance was designed to resist the steering lag. Then the vehicle–road states, which described the real-time lateral and heading errors between the vehicle and the target road, was defined to describe the control strategy more efficiently. In order to trade off the tracking accuracy and stability, the Takagi–Sugeno (TS) fuzzy method was used to adjust the weight matrix of the linear quadratic regulator (LQR) for different vehicle–road states. Based on the actual mine production environment and the TR100 mining truck, experimental results show that the TS-LQR algorithm performed much better than the pure pursuit algorithm.
Chen, Qiushi, Wu, Guangqiang, Zeng, Qi, Zong, Jianzhuang
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