Parametric Modeling Method for Conceptual Vehicle Design

Author(s):  
Jian Wan ◽  
Nanxin Wang ◽  
Gianna Gomez-Levi

Early conceptual design is one of the most important stages in vehicle product development. At this stage, various iterations of design, analysis, validation, and confirmation need to be carried out with limited and constantly changing vehicle design information. To overcome this difficulty, computer aided design tools are widely used. Various parametric concept models are created and employed to increase the number of design iterations and reduce the design cycle time. However, two of the most common challenges still exist: 1) how to build a parametric model that is flexible and robust while maintaining adequate accuracy, and 2) how to easily manipulate the model based on limited dimensional and geometrical input available at early design stages. In this paper, a parametric modeling and controlling method is presented. It has been developed to generate and manipulate a parametric vehicle concept model for vehicle design at early design stages. This method greatly improves the flexibility and robustness of the parametric concept model, and allows easy modifications of the model based on the limited available input.

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 685
Author(s):  
Manuel Prado-Velasco ◽  
Rafael Ortiz-Marín

The emergence of computer-aided design (CAD) has propelled the evolution of the sheet metal engineering field. Sheet metal design software tools include parameters associated to the part’s forming process during the pattern drawing calculation. Current methods avoid the calculation of a first pattern drawing of the flattened part’s neutral surface, independent of the forming process, leading to several methodological limitations. The study evaluates the reliability of the Computer Extended Descriptive Geometry (CeDG) approach to surpass those limitations. Three study cases that cover a significative range of sheet metal systems are defined and the associated solid models and patterns’ drawings are computed through Geogebra-based CeDG and two selected CAD tools (Solid Edge 2020, LogiTRACE v14), with the aim of comparing their reliability and accuracy. Our results pointed to several methodological lacks in LogiTRACE and Solid Edge that prevented to solve properly several study cases. In opposition, the novel CeDG approach for the computer parametric modeling of 3D geometric systems overcame those limitations so that all models could be built and flattened with accuracy and without methodological limitations. As additional conclusion, the success of CeDG suggests the necessity to recover the relevance of descriptive geometry as a key core in graphic engineering.


Author(s):  
Andrew Koehring ◽  
Eliot Winer

Currently, there are many engineering software packages targeted toward high fidelity modeling. Computer aided design (CAD) tools are one example of this. The need for increasingly accurate models has caused this class of software to become even more detailed and comprehensive. Modeling a single design can be a time intensive process; so much so, that most modeling is done by specifically trained CAD professionals, not designers. These advancements in CAD software are at odds with the goal of conceptual design, which is to generate and evaluate as many concepts as possible in a limited amount of time. Within the engineering design process, changes made in preliminary stages have much greater impact for significantly less cost. Unfortunately, few software packages exist that are tailored for use so early in a product’s design cycle. This paper presents an application developed specifically for conceptual design. Through the use of an augmented reality environment, designers are able to quickly and intuitively assemble concepts. Potential designs can be easily manipulated in three dimensions, enhancing the ability to communicate the idea to others.


2018 ◽  
Vol 7 (2.16) ◽  
pp. 57
Author(s):  
G Prasad Acharya ◽  
M Asha Rani

The increased demand for processor-level parallelism has many-folded the challenges for SoC designers to design, simulate and verify/validate today’s Multi-core System-On-Chip (SoC) due to the increased system complexity. There is also a need to reduce the design cycle time to produce a complex multi-core SOC system thereby the product can be brought into the market within an affordable time. The Computer-Aided Design (CAD) tools and Field Programmable Gate Arrays (FPGAs) provide a solution for rapidly prototyping and validating the system. This paper presents an implementation of multi-core SoC consisting of 6 Xilinx Micro-Blaze soft-core processors integrated to the Zynq Processing System (PS) using IP Integrator and these cores will be communicated through AXI bus. The functionality of the system is verified using Micro-Blaze system debugger. The hardware framework for the implemented system is implemented and verified on FPGA.  


2016 ◽  
Vol 36 (3) ◽  
pp. 274-294 ◽  
Author(s):  
Jie Zhang ◽  
Mi Zuo ◽  
Pan Wang ◽  
Jian-feng Yu ◽  
Yuan Li

Purpose Design is a time-consuming process for mechanical production. Some design structures frequently occur in different products and can be shared by multiple assembly models. Thus, identifying these structures and adding them to a design knowledge library significantly speed up the design process. Most studies addressing this issue have traditionally focused on part models and have not extended to assembly models. This paper aims to find a method for common design structure discovery in assembly models. Design/methodology/approach Computer-aided design models have a great deal of valuable information defined by different designers in the design stages, especially the assembly models, which are actually carriers of information from multiple sources. In this paper, an approach for discovering a common design structure in assembly models is proposed by comparing information from multiple sources. Assembly models are first represented as attribute connection graphs (ACGs), in which we mainly consider topological information and various attributes of parts and connections. Then, we apply a K-means clustering method based on a similarity analysis of different attributes to classify the parts and connections and transform ACGs of assemblies into type code graphs (TCGs). After this, a discovery algorithm that improves upon fast frequent subgraph mining is used to identify common design structures in assemblies. Findings A new method was developed for discovering common design structures in assembly models, considering the similarity of information from multiple sources and allowing some differences in the details to keep both commonalities and individualities of common design structures. Practical implications Experiments show that the proposed method is efficient and can produce a reasonable result. Originality/value This discovery method helps designers find common design structures from different assembly models and shorten the design cycle. It is an effective approach to build a knowledge library for product design that can shorten the design cycle.


2014 ◽  
Vol 136 (08) ◽  
pp. 44-49 ◽  
Author(s):  
Jean Thilmany

This article highlights the acoustical analysis changes made by manufacturers in design cycle. Acoustical simulation is being pushed from experts to designers, following the trend for the last 15 or so years that saw other types of engineering applications like finite element analysis and computational fluid dynamics become integrated with computer-aided design packages used by mechanical engineers. With the advent of software packages that allow for design and for acoustical analysis in tandem, design engineers are increasingly running these analyses early in the development cycle and are making design changes to decrease noise and vibration issues they find. Experts suggest that with speaker sound quality and other pertinent information in hand, designers can actually design from the get-go with that information in mind, resulting in fewer design changes down the line. Though early acoustical simulation is still perhaps one of the consumer electronics’ industries best-kept secrets, that’s likely to change as word gets out about the many advantages of front-line simulation.


Author(s):  
Harley R. Myler ◽  
Avelino J. Gonzalez ◽  
Massood Towhidnejad

A number of automated reasoning systems find their basis in process control engineering. These programs are often model-based and use individual frames to represent component functionality. This representation scheme allows the process system to be dynamically monitored and controlled as the reasoning system need only simulate the behavior of the modeled system while comparing its behavior to real-time data. The knowledge acquisition task required for the construction of knowledge bases for these systems is formidable because of the necessity of accurately modeling hundreds of physical devices. We discuss a novel approach to the capture of this component knowledge entitled automated knowledge generation (AKG) that utilizes constraint mechanisms predicated on physical behavior of devices for the propagation of truth through the component model base. A basic objective has been to construct a complete knowledge base for a model-based reasoning system from information that resides in computer-aided design (CAD) databases. If CAD has been used in the design of a process control system, then structural information relating the components will be available and can be utilized for the knowledge acquisition function. Relaxation labeling is the constraint-satisfaction method used to resolve the functionality of the network of components. It is shown that the relaxation algorithm used is superior to simple translation schemes.


Author(s):  
G S Ray ◽  
B K Sinha ◽  
S Majumdar

The paper presents a procedure of computer aided design of high-speed impellers. The configurations are obtained using programs for the strength under the influence of centrifugal force within given constraints. The method provides a tool for optimizing stresses at an early design stage.


2017 ◽  
Vol 24 (2) ◽  
pp. 77-82 ◽  
Author(s):  
Artur Karczewski ◽  
Janusz Kozak

Abstract Ship designing is a complex process, as the ship itself is a complex, technical multi-level object which operates in the air/water boundary environment and is exposed to the action of many different external and internal factors resulting from the adopted technical solutions, type of operation, and environmental conditions. A traditional ship design process consists of a series of subsequent multistage iterations, which gradually increase the design identification level. The paper presents problems related to the design of a small untypical vessel with the aid of variant methodology making use of optimisation algorithms. The computer-aided design methodology has been developed which does not need permanent reference to already built real ships and empirical-statistical relations. Possibilities were indicated for integrating together early design stages, and parallel designing of hull shape and parameters.


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