Browse Topic: Product development
In vehicle design, the H point is a theoretical relative location measured in relation to specific characteristics that determines a group of dimensions to define vehicle interior roominess. Based on theoretical H point automakers concept their vehicle and have to make important decisions on vehicle architectural that could result in a bad product for the future customers and during the early phase of vehicle development, one of the key design attributes to consider is in relation to the interior comfort of the user, so that its design and its components enabling a favorable interaction with the occupant. Vehicle interior roominess is one of the key factors for buyers’ satisfaction with certain features such as the shoulder room, headroom and couple distance, among others, may influence the level of satisfaction of the occupants’ comfort. One of these items refers to the rear chair height (H30-2), which is presented while by the distance of rear H-point to the vehicle floor affecting
Systems Engineering is a method for developing complex products, aiming to improve cost and time estimates and ensure product validation against its requirements. This is crucial to meet customer needs and maintain competitiveness in the market. Systems Engineering activities include requirements, configuration, interface, deadlines, and technical risks management, as well as definition and decomposition of requirements, implementation, integration, and verification and validation testing. The use of digital tools in Systems Engineering activities is called Model-Based Systems Engineering (MBSE). The MBSE approach helps engineers manage system complexity, ensuring project information consistency, facilitating traceability and integration of elements throughout the product lifecycle. Its benefits include improved communication, traceability, information consistency, and complexity management. Major companies like Boeing already benefit from this approach, reducing their product
During the early phase of vehicle development, one of the key design attributes to consider is the trunk. Trunk is the pillar that is responsible for user’s accommodate their baggage and make into customer needs in engineer metrics. Therefore, it is one of the key requirements to be considered during the vehicle design. Certain internal vehicle trunk characteristics such as the trunk height and length are engineer metrics that influence the occupants’ perception for trunk. One specific characteristic influencing satisfaction is the rear opening width lower for notch back segment, which is the subject of this paper. The objective of this project is to analyze the relationship between the rear opening width lower with the occupant’s satisfaction under real world driving conditions, based on research, statistical data analysis and dynamic clinics
Design validation plays a crucial role in the overall cost and time allocation for product development. This is especially evident in high-value manufacturing sectors like commercial vehicle electric drive systems or e-axles, where the expenses related to sample procurement, testing complexity, and diverse requirements are significant. Validation methodologies are continuously evolving to encompass new technologies, yet they must be rigorously evaluated to identify potential efficiencies and enhance the overall value of validation tests. Simulation tools have made substantial advancements and are now widely utilized in the development phase. The integration of simulation-based or simulation-supported validation processes can streamline testing timelines and sample quantities, all the while upholding quality standards and minimizing risks when compared to traditional methods. This study examines various scenarios where the implementation of advanced techniques has led to a reduction in
Recent advancements in electric vertical take-off and landing (eVTOL) aircraft and the broader advanced air mobility (AAM) movement have generated significant interest within and beyond the traditional aviation industry. Many new applications have been identified and are under development, with considerable potential for market growth and exciting potential. However, talent resources are the most critical parameters to make or break the AAM vision, and significantly more talent is needed than the traditional aviation industry is able to currently generate. One possible solution—leverage rapid advancements of artificial intelligence (AI) technology and the gaming industry to help attract, identify, educate, and encourage current and future generations to engage in various aspects of the AAM industry. Beyond Aviation: Embedded Gaming, Artificial Intelligence, Training, and Recruitment for the Advanced Air Mobility Industry discusses how the modern gaming population of 3.3 million
Emergence of Software Defined Vehicles (SDVs) presents a paradigm shift in the automotive domain. In this paper, we explore the application of Model-Based Systems Engineering (MBSE) for comprehensive system simulation within the SDV architecture. The key challenge for developing a system model for SDV using traditional methods is the document centric approach combined with the complexity of SDV. This MBSE approach can help to reduce the complexity involved in Software-Defined Vehicle Architecture making it more flexible, consistent, and scalable. The proposed approach facilitates the definition and analysis of functional, logical, and physical architecture enabling efficient feature and resource allocation and verification of system behaviour. It also enables iterative component analysis based on performance parameters and component interaction analysis (using sequence diagrams
With the trend of increasing technological complexity, software content and mechatronic implementation, there are increasing risks from systematic failures and random hardware failures, which is to be considered within the scope of functional safety. ISO 26262 series of standards provides guidance to mitigate these risks by providing appropriate requirements and processes. To develop a safe product with respect to above mentioned complexities, it is very critical to develop a safe system and hence a thorough and robust “Technical Safety Concept” is very important to ensure absence of unreasonable risk due to hazards caused by malfunctions of E/E systems. ISO26262-Part 4 provides guidelines for “Product development at the system level”, to design safety-related systems that include one or more electrical and/or electronic (E/E) systems and that are installed in series production road vehicles. Defining requirements at system level for each individual technology and systematically
Agile software development aims to create high-quality products while minimizing waste, reducing project costs. Nevertheless, costs are not decreasing despite shorter project cycles and more compact, flexible teams. One area where consideration is being given to reevaluating the stages in software product development is RT. Regression testing is a form of testing done to assure that changes done in Model do not adversely affect the software's functionality. As software develops, test suites typically expand and may become too expensive to run through in their entirety The initial application might have good set of test cases, and running the entire test suite could make testing more expensive. Three ways for reducing the cost of RT include test instance prioritization, test suite minimizing, and regression test selection. In order to verify that software satisfies customer requirements, identify faults or bugs in the code, and determine how to fix these issues to make the software more
Today's battery management systems include cloud-based predictive analytics technologies. When the first data is sent to the cloud, battery digital twin models begin to run. This allows for the prediction of critical parameters such as state of charge (SOC), state of health (SOH), remaining useful life (RUL), and the possibility of thermal runaway events. The battery and the automobile are dynamic systems that must be monitored in real time. However, relying only on cloud-based computations adds significant latency to time-sensitive procedures such as thermal runaway monitoring. Because automobiles operate in various areas throughout the intended path of travel, internet connectivity varies, resulting in a delay in data delivery to the cloud. As a result, the inherent lag in data transfer between the cloud and cars challenges the present deployment of cloud-based real-time monitoring solutions. This study proposes applying a thermal runaway model on edge devices as a strategy to reduce
Researchers at the Johns Hopkins Applied Physics Laboratory have developed a machine learning method that could have a huge impact on understanding how material is formed during the additive manufacturing process. John Hopkins Applied Physics Laboratory, Laurel, MD Researchers at the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, have demonstrated a novel approach for applying machine learning to predict microstructures produced by a widely used additive manufacturing technique. Their approach promises to dramatically reduce the time and cost of developing materials with tailored physical properties and will soon be implemented on a NASA-funded effort focused on creation of a digital twin. “We anticipate that this new approach will be extremely impactful in helping design and understand material formation during additive manufacturing processes, and this fits into our overarching strategy focused on accelerating materials development for national security,” said
Virtualization features such as digital twins and virtual patching can accelerate development and make commercial vehicles more agile and secure. There is one sure-fire way to secure commercial vehicles from cyber-attacks. “You just remove the connectivity,” quipped Brandon Barry, CEO of Block Harbor Cybersecurity and the moderator of a panel session on “cybersecurity of virtual machines” at the SAE COMVEC 2024 conference in Schaumburg, Illinois. Obviously, that train has left the station - commercial vehicles of all types, including trains, are only becoming more automated and connected, which increases the risks for cyber-attacks. “We have very connected vehicles, so attacks can be posed not just through powertrain solutions but also through telemetry, infotainment systems connected to different applications and services, and also through cloud platforms,” said Trisha Chatterjee, current product support and data specialist for fuel cell and hydrogen technology at Accelera by Cummins
“This might be our most forward-looking team occupying the building that was the impetus for our future-looking focus in the very beginning,” Jennifer Kolstad, Ford Motor Company's Global Design and Brand Director, told SAE Media inside the 100-year-old Ford Engineering Lab's library. The two-story Dearborn, Michigan building, which spans two city blocks, is now the renovated and modernized workspace for Electrified Propulsion Engineering Team innovators. “They're in-space before the research and development hub opens across the street,” Kolstad said
ABSTRACT To support customers during product development, General Dynamics Land Systems (GDLS) utilizes a set of Operations Research/Decision Support processes and tools to facilitate all levels of decision-making aimed at achieving a balanced system design. GDLS employs a rigorous Structured Decision (SD) process that allows for large, highly complex or strategic decisions to be made at the system-of-systems, system, and/or subsystem level. Powerful, robust tools -the Advanced Collaborative System Optimization Modeler (ACSOM) and Logical Decisions for Windows (LDW) - are used to make relatively quick assessments and provide recommendations. The latest ACSOM algorithms have increased the response time for trade study analysis by over 2,000 times and future versions will incorporate logistics analysis helping to reduce vehicle Life Cycle Cost
ABSTRACT Systems Engineering (SE) would always benefit from the inclusion of the Six-Sigma perspective in both the planning and execution of project systems. This applies to not only System Engineers but also to Systems Extended Team Members, all who must provide cumulated knowledge along with competency to the project. It is difficult to obtain a high level of competency among single members of the team to be highly successful. Strength in one area is very often an underlying factor of weakness in another area. Determining and integrating sigma characteristics from the development cycle into all remaining phases of the product project, especially at critical component interfaces, with a resultant sigma value given to those connections that develop a sigma-risk factor for each function and process pathway within the operational configuration. This sigma-risk factor concept is the key in uniting knowledge with experience
ABSTRACT Situation: There are many advantages during development of a design that come from doing Design Failure Mode Effects Analysis (DFMEA). These advantages include more reliable, safer, self-diagnosing, designs with higher Availability. Strictly from a Design for Reliability (DFR) viewpoint, DFMEA is the key tool to; a. identify and prioritize most critical potential Failure Modes (FMs) of the design, before design development, b. Document critical FM effects and root causes, and c. facilitate corrective actions and DVP&R planning, and d. form a reliability model which can be used to track reliability over the life of the design. Problem: Since even small and simple designs often have a few hundred potential failure modes, preparing a good DFMEA is always a problem of Effectiveness vs., Efficiency. Traditionally it has been very hard to achieve Effectiveness when limited time, money and resources are available and the push for Efficiency, speed or deadlines, causes critical FMs to
Abstract Increased connectivity, burgeoning functionality, as well as surging software and integration complexity all conspire to blur the lines for requirements sourcing and implementation of new Ground Vehicles
ABSTRACT The Integrated Survivability System Integration Laboratory (ISSIL) developed at the U.S. Army Tank-Automotive Research, Development, and Engineering Command (TARDEC) is a tool which enables and enhances the integration of Soldier survivability technology suites. TARDEC utilized the ISSIL to bridge the gap between concept and realization of the survivability demonstrator vehicle built on MTV 1083 A1P2 platform. The ISSIL was a critical tool for enabling the integration of mechanical, electrical, data, and networking components as well as for validating the system integration through Soldier usability trials. This paper describes how the ISSIL advanced the RDECOMs comprehensive systems engineering process throughout the modeling, analysis, design, development and testing of the demonstrator vehicle
ABSTRACT This paper focuses on the use of PKI within intra vehicle networks in compliance with the VICTORY specification. It will describe how the use of PKI within vehicle networks can leverage and integrate with the other PKI efforts across the Army to ensure a consistent and interoperable solution. It will also describe some of the challenges with implementing PKI as part of VICTORY and introduce possible solutions to address these challenges
ABSTRACT The term “Systems Engineering” encompasses a large number of ‘engineering’ tools and processes that all can provide benefit to a program, if used properly at the right time. The objective of this paper is to describe how to navigate the elements of designing the various Systems Engineering tools and process for the scope of the project. Some organizations/individuals can over-use systems engineering tools, to the detriment of project overhead; while others under use the tools at the expense of project quality. There are a few basic tools that can help to justify the magnitude and use of the project
ABSTRACT This paper provides detail of the system architecture and systems engineering process utilized by AM General to develop a new stability control system that satisfies all military and federal safety requirements for wheeled, light tactical vehicles
ABSTRACT Systems Engineering (SE) is a knowledge-based process. Its success depends on timely, efficient and effective knowledge capture, sharing of that knowledge among a diverse set of system stakeholders, and formulation of the system trade space to enable decision makers choose a balanced solution to the problem. As system complexity grows, the challenge for precise capture of SE knowledge compounds, resulting in increased demands on SE practitioners to effectively capture and manage systems information. Technology aids can assist in the capture, sharing and presentation of SE knowledge and enable practitioners to focus on thinking tasks. The Advanced Systems Engineering Capability (ASEC) developed by the TARDEC Systems Engineering Group (SEG) is an integrated Systems Engineering (SE) knowledge creation and capture framework built on a decision-centric method, high quality data visualizations, intuitive navigation and systems information management that enable continuous data
ABSTRACT As the Army focuses to modernize existing ground vehicle fleets and develop new ground vehicle platforms, Program Managers are faced with the challenge of how to best choose a set of technologies for the vehicle that will be mature, be able to be integrated onto the platform, and have the capability to meet defined requirements. To accomplish this, the Tank Automotive Research, Development and Engineering Center (TARDEC) Systems Engineering Group (SEG) has championed the development of a methodology for executing Technical Risk Assessments, one of the components of the overall Risk Assessment. The Technical Risk Assessment activity determines critical technologies, assesses technology maturity, integration and manufacturing readiness, and identifies the associated technical risks of those critical technologies and other technologies of interest. A standardized set of criteria is being utilized by technology subject matter experts to perform the assessments, and has been used
Abstract The Integrated Systems Engineering Framework (ISEF) is an RDECOM solution to capture, leverage, and preserve/reuse Systems Engineering (SE) knowledge generated throughout a system’s lifecycle. The framework is a system of tools designed to support decision making with confidence through embedded SE process management, high quality data visualizations, and system lifecycle information traceability. A web based tool architecture supports near zero IT footprint and allows real time collaboration between team members. The Combat Vehicle Prototype program is a large S&T effort within the Army community to create a virtual demonstrator to influence the next Future Fighting Vehicle program of record. The program is made up of “leap-ahead” technology development efforts pursuing TRL 6 demonstrations. These technologies are being coordinated with the CVP central program office to ensure an effective system level concept is transitioned at the end of the program. This paper will begin
ABSTRACT Systems change over time. Sometimes this is planned as in the normal maintenance, planned upgrades, refits and modifications to keep a system fit for purpose and ready to deploy. There may also be multiple allowable configurations of a system providing flexibility to meet different operational needs. Sometimes the changes are not planned. This can be due to complete system failure, component failure, accidental or deliberate damage, as well as unforeseen operational needs. Whatever the reason for the change, the “To-Be” configuration of the system needs to be captured, analyzed and evaluated to ensure it will meet the projected operational need. Systems engineering and trade-off analysis also need to be performed to ensure that the best configuration of the system has been specified regarding time, cost, system effectiveness, as well as a host of other criteria. Additionally, it is not sufficient to simply model the system configurations. It is necessary to show how a
ABSTRACT In development of next generation products, 80% or more of the downstream costs associated are committed during design phase. If we could predict, with reasonable confidence, the long-term impact of design decisions, it would open opportunities to develop better designs that result in tremendous future cost savings, often with no compromise in key performance objectives. Systems engineering is, by its nature, multi-disciplinary. The aim of Integrated Product and Process Development is to bring these disciplines together in order to assess various downstream implications of early design decisions, creating better designs, avoiding dead-end designs that are costly in terms of design cycle-time, and realizing designs that are manufacturable while achieving the performance objectives. The goal is to build a downstream value analysis tool that links all the conceptual design activities. This capability allows a designer to realize the long-range impacts of key up-front design
ABSTRACT The key to a better correlation between the interface of systems engineering and project management is in fact a strong sigma relationship. In the recent past this would be termed Value Engineering and was that activity that took place prior to cutting the tools, but it is considerably more common today with the computer systems and software suites in use for modeling and the emphasis on Design for Six Sigma and time to market. All of these tools and methodologies are placing the focus on the final product performance, quality and cost and in so doing helping to again strengthen the manufacturing posture and job outlook of America and re-shore much of the work that was outsourced to save money. Whether of Military or U.S. vehicle manufacturing requirements, for the safety of our programs this work can and should stay in the United States when appropriate. This paper will develop better tools solutions, to provide better risk decisions which improve safety, budget, predictions
ABSTRACT The Internet of Things (IoT) is a system of systems (SoS) in every sense of the definition. A.P. Sage and others list five common SoS characteristics: operational independence of the individual systems, managerial independence, geographical distribution, emergent behavior and evolutionary development or independent life cycles. Typical examples include smart houses, the electric grid, and so-called smart cities. With military systems increasingly making use of IoT techniques in the upgrade, development and implementation of systems, IoT is becoming a critical factor. The future of IoT success is dependent on the application of solid Systems Engineering and Model Based Systems Engineering (MBSE) principals. Without MBSE, the complexity involved in the design, development, and deployment of IoT systems would consume both system and operational providers. IoT systems cannot be built in a vacuum and their success will only be realized through application of modern day systems
ABSTRACT This paper will discuss how proven automotive systems engineering lightweighting principles and practices are being adapted and applied to combat and tactical ground vehicle systems. An automotive lightweighting methodology has most recently been utilized to reduce the weight of a light-duty pickup truck by 511 kilograms resulting in a 20.8% vehicle mass reduction. A holistic approach to light-weighting offers great benefits with additional mass reduction at a cost savings, reducing the overall vehicle lightweighting cost impact. Automotive studies have shown additional vehicle mass-reductions in the range of 3-5% are achievable when vehicles are aggressively light-weighted (i.e., approximate 20% vehicle mass reduction range). Although many factors like customer usage, function and performance requirements, production volumes, product life cycles, value stream, manufacturing infrastructure, litigation application, etc., are indeed considerably different between automotive and
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