Integrated Computer-Aided Design in Automotive Development

Hirz, Mario; Dietrich, Wilhelm; Gfrerrer, Anton; Lang, Johann

doi:10.1007/978-3-642-11940-8

Cited by 34 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Avoiding overdesign of vehicle components is a well-established principle in both conventional and LW vehicle design, driven by economic incentives and supported by the adoption of computer-aided design and analysis to optimize vehicle parameters without the need for prototypes. ,− When extending the service life of an LW part or vehicle, a reasonable product lifetime must be considered. , For instance, an LW engine block that is designed to last 30 years is overdesigned for a vehicle that will be used for 15 years . Optimal replacement strategies are helpful in understanding the relationship between life cycle impact and product lifetime.…”

Section: Lightweighting Principlesmentioning

confidence: 99%

Green Principles for Vehicle Lightweighting

Lewis

Buchanan

Jhaveri

et al. 2019

Environ. Sci. Technol.

View full text Add to dashboard Cite

A large portion of life cycle transportation impacts occur during vehicle operation, and key improvement strategies include increasing powertrain efficiency, vehicle electrification, and lightweighting vehicles by reducing their mass. The potential energy benefits of vehicle lightweighting are large, given that 29.5 EJ was used in all modes of U.S. transportation in 2016, and roughly half of the energy spent in wheeled transportation and the majority of energy spent in aircraft is used to move vehicle mass. We collect and review previous work on lightweighting, identify key parameters affecting vehicle environmental performance (e.g., vehicle mode, fuel type, material type, and recyclability), and propose a set of 10 principles, with examples, to guide environmental improvement of vehicle systems through lightweighting. These principles, based on a life cycle perspective and taken as a set, allow a wide range of stakeholders (designers, policy-makers, and vehicle manufacturers and their material and component suppliers) to evaluate the trade-offs inherent in these complex systems. This set of principles can be used to evaluate trade-offs between impact categories and to help avoid shifting of burdens to other life cycle phases in the process of improving use-phase environmental performance.

show abstract

Section: Lightweighting Principlesmentioning

confidence: 99%

Green Principles for Vehicle Lightweighting

Lewis

Buchanan

Jhaveri

et al. 2019

Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…This requires a model structure in which the dependencies of the model parameters are locally limited and there are as few global dependencies as possible. In face of this challenge, several methods have been proposed, e.g., enhancing the generation of explicit models by parametric design (Kim and Han, 2007); master model creation and manipulation by feature-based modeling (Yin and Ma, 2012) and knowledge-based application development (Boyle et al, 2011;Hirz et al, 2013). These models are in some case hard to adapt themselves to new variants because the required adaptations are way too large to be mapped into one single model due to the lack of knowledge and the evolving requirements (Gembarski et al, 2017).…”

Section: Motivationmentioning

confidence: 99%

“…Parametric design (PD) means the use of a CAD system to automatically modify a design as the values of the parameter change and to make corresponding changes to the CAD model during the design process (Hirz et al, 2013). Given a design problem, the requirements are transformed into a set of parameters and their constraints are also represented via a series of mathematical or logical relations in a hierarchy manner, capturing the product's behaviors and the structures (Vajna et al, 2009).…”

Section: Parametric Designmentioning

confidence: 99%

An Investigation of a Generative Parametric Design Approach for a Robust Solution Development

Brockmöller

Gembarski

et al. 2020

Proc. Des. Soc.: Des. Conf.

View full text Add to dashboard Cite

The main design activity in engineering practice is to adapt existing designs or to create variants of existing products to new demands, which require a robust model against both parametric and topological changes. To design such a kind of model becomes a big challenge, especially in the development of structural components due to the number of load application points, variable load cases and restrictions from manufacturing technologies. Thus, the generative parametric design approach is applied to generating high dynamic product models, allowing them to be adjusted for changes feasibly.

show abstract

“…During past decades, an increasing application of virtual engineering provided great potential for reduction of development time and increasingly supported collaboration of the different involved parties. Nowadays, a typical full-vehicle development project has a duration of about 4 years (in case of derivate development less than 3 years) and the trend is moving towards further decrease [1]. As one main module, the drivetrain system plays an important role in the development of new cars -especially in case that new, electrified propulsion systems are going to be designed and integrated into the fullvehicle architecture.…”

Section: Automotive Development Processes and Integration Of Propulsimentioning

confidence: 99%

Electric Propulsion Systems Design Supported by Multi-Objective Optimization Strategies

2019

View full text Add to dashboard Cite

Electric drive systems consisting of battery, inverter, electric motor and gearbox are applied in hybridor purely electric vehicles. The layout process of such propulsion systems is performed on system level under consideration of various component properties and their interfering characteristics. In addition, different boundary conditions are taken under account, e. g. performance, efficiency, packaging, costs. In this way, the development process of the power train involves a broad range of influencing parameters and periphery conditions and thus represents a multi-dimensional optimization problem. Stateof-the-art development processes of mechatronic systems are usually executed according to the V-model, which represents a fundamental basis for handling the complex interactions of the different disciplines involved. In addition, stage-gate processes and spiral models are applied to deal with the high level of complexity during conception, design and testing. Involving a large number of technical and economic factors, these sequential, recursive processes may lead to suboptimal solutions since the system design processes do not sufficiently consider the complex relations between the different, partially conflicting domains. In this context, the present publication introduces an integrated multi-objective optimization strategy for the effective conception of electric propulsion systems, which involves a holistic consideration of all components and requirements in a multi-objective manner. The system design synthesis is based on component-specific Pareto-optimal designs to handle performance, efficiency, package and costs for given system requirements. The results are displayed as Pareto-fronts of electric power train system designs variants, from which decision makers are able to choose the best suitable solution. In this way, the presented system design approach for the development of electrically driven axles enables a multi-objective optimization considering efficiency, performance, costs and package. It is capable to reduce development time and to improve overall system quality at the same time.

show abstract

Integrated Computer-Aided Design in Automotive Development

Cited by 34 publications

References 0 publications

Green Principles for Vehicle Lightweighting

Green Principles for Vehicle Lightweighting

An Investigation of a Generative Parametric Design Approach for a Robust Solution Development

Electric Propulsion Systems Design Supported by Multi-Objective Optimization Strategies

Contact Info

Product

Resources

About