Deep generative tread pattern design framework for efficient conceptual design

2022 ◽  
pp. 1-28
Author(s):  
Mingyu Lee ◽  
Youngseo Park ◽  
Hwisang Jo ◽  
Kibum Kim ◽  
Seungkyu Lee ◽  
...  

Abstract Tire tread patterns have played an important role in the automotive industry because they directly affect automobile performances. The conventional tread pattern development process has successfully produced and manufactured many tire tread patterns. However, a conceptual design process, which is a major part of the whole process, is still time-consuming due to repetitive manual interaction works between designers and engineers. In the worst case, the whole design process must be performed again from the beginning to obtain the required results. In this study, a deep generative tread pattern design framework is proposed to automatically generate various tread patterns satisfying the target tire performances in the conceptual design process. The main concept of the proposed method is that desired tread patterns are obtained through optimization based on integrated functions, which combine generative models and tire performance evaluation functions. To strengthen the effectiveness of the proposed framework, suitable image pre-processing, generative adversarial networks (GANs), 2D image-based tire performance evaluation functions, design generation, design exploration, and image post-processing methods are proposed with the help of domain knowledge of the tread pattern. The numerical results show that the proposed automatic design framework successfully creates various tread patterns satisfying the target tire performances such as summer, winter, or all-season patterns.

Author(s):  
Douglas Eddy ◽  
Sundar Krishnamurty ◽  
Ian Grosse ◽  
Jack Wileden

This paper presents an e-Design framework for knowledge management through its application in an engineering design case study. The e-Design framework enables the implementation of integrated design information throughout the entire design process. It facilitates the ease of sharing real time information across multiple individual designers, departments, or organizations as would be required in large scale design efforts. Similarly, it allows for the ease of use of technical tools integral to the design process that small design departments depend upon. Thus, regardless of the scale, the efficiency of engineering design can be improved with the use of the e-Design framework. The many features of the e-Design framework are exemplified through its application in a practical industry design problem. The case study in this paper addresses the utility and ease of use of this framework and provides one potential implementation method. This study involves a representative application of an innovative new mast design to elevate a surveillance camera on a military vehicle. The design process utilizes the NIST functional basis [3] to improve effectiveness and efficiency during conceptual design. The decision tool module of the e-Design framework is then used to evaluate and select the best conceptual design based on product design criteria. We use this case study to illustrate information quality and the clarity of design intent throughout the entire design process. The results reveal a usable design process method that can improve the transparency of design knowledge from design conception to completion. Additional benefits include storing of the information generated at the early stages for sharing and reuse throughout the entire design process. Most of all, improved transparent communication throughout the design process will reduce duplication of efforts and trial and error occurrences.


2012 ◽  
Vol 229-231 ◽  
pp. 1781-1784
Author(s):  
Yue Min Hou ◽  
Lin Hong Ji

The goal of the presented work is to establish foundation for design systems combining both human intelligence and computing power of computers for real engineering design. The lack of involving designers in current design models impairs the design flexibility of computer-based design systems. This paper investigates design process with a developmental and dynamic view and develops a designer dominating designing (DDD) framework involving the object, process and designer. The design framework consists of six stages, three types of transfer functions, measurement functions, and evaluation functions, and it is represented as a dynamic system. A bio-inspired design framework (six-stages) is used to present the design process into six phase states and three mechanisms. An integrated product engineering model (iPeM) is used to generalize various design activities into transfer functions and measurement functions. Examples are presented to validate the method.


2021 ◽  
Vol 29 (1) ◽  
pp. 66-77
Author(s):  
Erin Hurley ◽  
Timo Dietrich ◽  
Sharyn Rundle-Thiele

Co-design empowers people, giving them a voice in social marketing program design; however, approaches have mostly excluded expert knowledge. An abductive approach to co-design allows for inclusion of expert knowledge, providing theoretical guidance while simultaneously investigating user views and ideas extending understanding beyond known effective approaches. We use the seven-step co-design framework and outline how an abductive inference can be applied to co-design. Social cognitive theory constructs were integrated into the seven-step co-design process. The abductive approach to co-design was tested in two co-design sessions involving 40 participants. Findings demonstrate that theory can be successfully integrated into the seven-step co-design process through utilization of theory-mapped activity cards. This article provides guidance on how theory can be incorporated into ideation and insight generation. Limitations and future research recommendations are provided.


2021 ◽  
Vol 54 (3) ◽  
pp. 1-42
Author(s):  
Divya Saxena ◽  
Jiannong Cao

Generative Adversarial Networks (GANs) is a novel class of deep generative models that has recently gained significant attention. GANs learn complex and high-dimensional distributions implicitly over images, audio, and data. However, there exist major challenges in training of GANs, i.e., mode collapse, non-convergence, and instability, due to inappropriate design of network architectre, use of objective function, and selection of optimization algorithm. Recently, to address these challenges, several solutions for better design and optimization of GANs have been investigated based on techniques of re-engineered network architectures, new objective functions, and alternative optimization algorithms. To the best of our knowledge, there is no existing survey that has particularly focused on the broad and systematic developments of these solutions. In this study, we perform a comprehensive survey of the advancements in GANs design and optimization solutions proposed to handle GANs challenges. We first identify key research issues within each design and optimization technique and then propose a new taxonomy to structure solutions by key research issues. In accordance with the taxonomy, we provide a detailed discussion on different GANs variants proposed within each solution and their relationships. Finally, based on the insights gained, we present promising research directions in this rapidly growing field.


Actuators ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 133
Author(s):  
Tobias Vonderbank ◽  
Katharina Schmitz

Increasing performance in modern hydraulics is achieved by a close investigation of possible enhancements of its components. Prior research has pointed out that electromechanical actuators can form suitable alternatives to hydraulically piloted control systems. Since the requirements at these actuation systems depend on the operating conditions of the system, each actuator can be optimized to the respective hydraulic system. Considering that many different conceptual designs are suitable, the phase of conceptual design plays a decisive role during the design process. Therefore, this paper focuses on the process of developing new conceptual designs for electromechanical valve actuation systems using the method of function structures. Aiming to identify special design features, which need to be considered during the design process of electromechanical actuation systems, an exemplary actuator was designed based on the derived function structure. To highlight the potential of function structures for the development of new electromechanical valve actuation systems, two principal concepts, which allow the reduction of the necessary forces, have been developed by extending the function structure. These concepts have been experimentally investigated to identify their advantages and disadvantages.


2014 ◽  
Vol 35 (6/7) ◽  
pp. 495-507 ◽  
Author(s):  
Jurgita Rudžionienė ◽  
Jaroslav Dvorak

Purpose – The purpose of this paper is to define the problem and to initiate discussion on library evaluation as significant part of institutional evidence-based management from public administration approach. Design/methodology/approach – In order to fulfilling the purpose, special attention to present the concepts of valuing information, library performance evaluation, measurement, etc. is drawn, main evaluation functions are analysed. Economic aspects of information services vs intellectual ones are discussed. Consistent patterns and principles of public administration as well as possibilities of public administration influence in creation of systematic base of library performance evaluation as well as of information services impact to the user are analysed. Findings – The paper provides insights about different aspects of information services evaluation. Results of analysis of economic aspects of information services vs intellectual ones are presented, consistent patterns and principles of public administration, possibilities of public administration influence in creation of systematic base of library performance evaluation as well as of information services impact to the user possibilities are presented. Originality/value – The paper fulfills need to study how public administration could involve library evaluation as tool for evidence-based decision making.


Author(s):  
Ehud Kroll ◽  
Lauri Koskela

AbstractThe mechanism of design reasoning from function to form is suggested to consist of a two-step inference of the innovative abduction type. First is an inference from a desired functional aspect to an idea, concept, or solution principle to satisfy the function. This is followed by a second innovative abduction, from the latest concept to form, structure, or mechanism. The intermediate entity in the logical reasoning, the concept, is thus made explicit, which is significant in following and understanding a specific design process, for educating designers, and to build a logic-based computational model of design. The idea of a two-step abductive reasoning process is developed from the critical examination of several propositions made by others. We use the notion of innovative abduction in design, as opposed to such abduction where the question is about selecting among known alternatives, and we adopt a previously proposed two-step process of abductive reasoning. However, our model is different in that the two abductions used follow the syllogistic pattern of innovative abduction. In addition to using a schematic example from the literature to demonstrate our derivation, we apply the model to an existing, empirically derived method of conceptual design called “parameter analysis” and use two examples of real design processes. The two synthetic steps of the method are shown to follow the proposed double innovative abduction scheme, and the design processes are presented as sequences of double abductions from function to concept and from concept to form, with a subsequent deductive evaluation step.


Author(s):  
David G. Ullman ◽  
Thomas G. Dietterich ◽  
Larry A. Stauffer

This paper describes the task/episode accumulation model (TEA model) of non-routine mechanical design, which was developed after detailed analysis of the audio and video protocols of five mechanical designers. The model is able to explain the behavior of designers at a much finer level of detail than previous models. The key features of the model are (a) the design is constructed by incrementally refining and patching an initial conceptual design, (b) design alternatives are not considered outside the boundaries of design episodes (which are short stretches of problem solving aimed at specific goals), (c) the design process is controlled locally, primarily at the level of individual episodes. Among the implications of the model are the following: (a) CAD tools should be extended to represent the state of the design at more abstract levels, (b) CAD tools should help the designer manage constraints, and (c) CAD tools should be designed to give cognitive support to the designer.


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