An Opportunistic Approach to Conceptual Design

Author(s):  
Ilango Shanmugavelu ◽  
Albert Esterline ◽  
Donald R. Riley ◽  
Arthur G. Erdman

Abstract This paper addresses automation of the conceptual design stage of the overall design process, the stage that contributes the most to the cost and quality of the final product. An opportunistic constraint-based approach to conceptual design is proposed here. This approach combines some important aspects of the constraint-based transformational approach (for strongly connected systems) with aspects of the decompositional approach (for weakly connected systems) through the ability to change focus from one component to another depending on the available information and the ability to refine constraint networks hierarchically. Thus this approach enables one to address problems, such as linkage synthesis, that fall between strongly connected systems and weakly connected systems. Here design problem solving is basically viewed as an instance of the constraint satisfaction problem. Constraints are represented using hypergraphs and are manipulated through hypergraph grammars. The design strategy proposed here includes techniques to reorder the domain of a variable, to select the free choices of variables in an under-constrained system, and to select the “generator” set of constraints in an over-constrained system. A classification of constraints along with representation and reasoning guidelines is presented as a step toward implementing our approach in a way that exploits the nature of different types of constraints. An application is being developed in the linkage synthesis domain to demonstrate and validate the proposed approach.

Author(s):  
Ihab Ragai ◽  
Harry Tempelman ◽  
David Kirby

This paper deals with the utilization of topology optimization in the design process. Topology optimization is considered the most challenging task in the structural design optimization problems because the general layout of the structure is not known; however, implementing it in the conceptual design stage has proven to reduce the cost and development time. In this paper, the design process is briefly discussed emphasizing the use of topology optimization in the conceptual design stage. Also, the mathematical formulation for topology optimization with material density contours is presented. Furthermore, two industrial case studies, related to off-road mining and construction trucks, are discussed where the use of topology optimization has proven to dramatically improve an existing design and significantly decrease the development time of a new design.


Author(s):  
Alan Parkinson ◽  
Kenneth Chase ◽  
Matt Rogers

Abstract Robust design methods are used to develop designs which can tolerate variation. Most methods developed to date are applied during the detailed design phase. Yet the potential for developing robust designs is greatest during the conceptual design stage, where the overall design concept is determined. This research is part of a larger effort to develop robust design methods for conceptual design. The focus of the research is on developing methods for identifying critical tolerances during concept evaluation. We propose that in many mechanical designs, a 70-30 rule applies: 30% of the tolerances contribute 70% of the variation. This hypothesis is supported by the results from several case studies. We discuss progress in developing methods — in particular the vector loop method — which can be applied during conceptual design to detect critical tolerances. By being aware of these tolerances early in the design process, the designer can either change the design to make the tolerances less critical or make sure the tolerances are appropriately considered as manufacturing process plans are developed.


2018 ◽  
Vol 15 (6) ◽  
pp. 819-830
Author(s):  
Margherita Peruzzini ◽  
Mauro Pistacchi ◽  
Andrea Savoretti ◽  
Marco Mandolini ◽  
Roberto Raffaeli

Author(s):  
Shun Takai

To estimate profitability of a new system in the conceptual design stage, engineers need to estimate the cost of concept (the cost of the final system developed from each system concept). If engineers have abundant experiences developing similar systems, they can construct a knowledge-base consisting of historical cost data and use it to estimate the cost of concept. However, if the firm is entering a new market, engineers do not have historical cost data to accurately estimate the cost of concept. In this case, engineers need to benchmark similar systems in the marketplace and construct a knowledge-base with the benchmarked information. This paper proposes an approach toward developing a distribution (belief) about the cost of concept using a knowledge-base. The proposed approach retrieves a subset of information from the knowledge-base relevant to estimating the cost of concept, constructs a histogram about the cost of concept, and develops a distribution of the cost of concept. This paper demonstrates the proposed approach by using printers as an illustrative example.


2020 ◽  
Author(s):  
M.A. D’Avanzo ◽  
G.M. Contessa ◽  
G. Cocomello ◽  
M. Mattozzi ◽  
M. Pacilio ◽  
...  

Purpose. In this article, the authors propose useful operational indications to approach in the best possible way the issues concerning the design of a facility for manufacturing radiopharmaceuticals, with focus on organizational and safety aspects. Methods. Several documents produced by authoritative bodies, national and international scientific institutions and associations were examined and referenced, to the purpose of reviewing all available information in the field. Results. Indications are gathered for the design stage, including the organization of accesses and routes and characteristics and requirements of premises and systems. Conclusions. Main goal is to guide the reader in evaluating and choosing the most suitable features and equipment to limit the risks due to ionizing radiation and to prevent contamination of the workers and the environment.


2006 ◽  
Vol 34 (3) ◽  
pp. 170-194 ◽  
Author(s):  
M. Koishi ◽  
Z. Shida

Abstract Since tires carry out many functions and many of them have tradeoffs, it is important to find the combination of design variables that satisfy well-balanced performance in conceptual design stage. To find a good design of tires is to solve the multi-objective design problems, i.e., inverse problems. However, due to the lack of suitable solution techniques, such problems are converted into a single-objective optimization problem before being solved. Therefore, it is difficult to find the Pareto solutions of multi-objective design problems of tires. Recently, multi-objective evolutionary algorithms have become popular in many fields to find the Pareto solutions. In this paper, we propose a design procedure to solve multi-objective design problems as the comprehensive solver of inverse problems. At first, a multi-objective genetic algorithm (MOGA) is employed to find the Pareto solutions of tire performance, which are in multi-dimensional space of objective functions. Response surface method is also used to evaluate objective functions in the optimization process and can reduce CPU time dramatically. In addition, a self-organizing map (SOM) proposed by Kohonen is used to map Pareto solutions from high-dimensional objective space onto two-dimensional space. Using SOM, design engineers see easily the Pareto solutions of tire performance and can find suitable design plans. The SOM can be considered as an inverse function that defines the relation between Pareto solutions and design variables. To demonstrate the procedure, tire tread design is conducted. The objective of design is to improve uneven wear and wear life for both the front tire and the rear tire of a passenger car. Wear performance is evaluated by finite element analysis (FEA). Response surface is obtained by the design of experiments and FEA. Using both MOGA and SOM, we obtain a map of Pareto solutions. We can find suitable design plans that satisfy well-balanced performance on the map called “multi-performance map.” It helps tire design engineers to make their decision in conceptual design stage.


2021 ◽  
Vol 1 ◽  
pp. 131-140
Author(s):  
Federica Cappelletti ◽  
Marta Rossi ◽  
Michele Germani ◽  
Mohammad Shadman Hanif

AbstractDe-manufacturing and re-manufacturing are fundamental technical solutions to efficiently recover value from post-use products. Disassembly in one of the most complex activities in de-manufacturing because i) the more manual it is the higher is its cost, ii) disassembly times are variable due to uncertainty of conditions of products reaching their EoL, and iii) because it is necessary to know which components to disassemble to balance the cost of disassembly. The paper proposes a methodology that finds ways of applications: it can be applied at the design stage to detect space for product design improvements, and it also represents a baseline from organizations approaching de-manufacturing for the first time. The methodology consists of four main steps, in which firstly targets components are identified, according to their environmental impact; secondly their disassembly sequence is qualitatively evaluated, and successively it is quantitatively determined via disassembly times, predicting also the status of the component at their End of Life. The aim of the methodology is reached at the fourth phase when alternative, eco-friendlier End of Life strategies are proposed, verified, and chosen.


Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3469
Author(s):  
Ji Han ◽  
Pingfei Jiang ◽  
Peter R. N. Childs

Although products can contribute to ecosystems positively, they can cause negative environmental impacts throughout their life cycles, from obtaining raw material, production, and use, to end of life. It is reported that most negative environmental impacts are decided at early design phases, which suggests that the determination of product sustainability should be considered as early as possible, such as during the conceptual design stage, when it is still possible to modify the design concept. However, most of the existing concept evaluation methods or tools are focused on assessing the feasibility or creativity of the concepts generated, lacking the measurements of sustainability of concepts. The paper explores key factors related to sustainable design with regard to environmental impacts, and describes a set of objective measures of sustainable product design concept evaluation, namely, material, production, use, and end of life. The rationales of the four metrics are discussed, with corresponding measurements. A case study is conducted to demonstrate the use and effectiveness of the metrics for evaluating product design concepts. The paper is the first study to explore the measurement of product design sustainability focusing on the conceptual design stage. It can be used as a guideline to measure the level of sustainability of product design concepts to support designers in developing sustainable products. Most significantly, it urges the considerations of sustainability design aspects at early design phases, and also provides a new research direction in concept evaluation regarding sustainability.


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