Product design-optimization integration via associative optimization feature modeling

Liu, Ji‐Kai; Cheng, Zhengrong; Ma, Yongsheng

doi:10.1016/j.aei.2016.09.004

Cited by 25 publications

(8 citation statements)

References 48 publications

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“…There are several publications that show the design process with advanced tools for additive manufacturing. The application of topological optimization in different aeronautical supports [30] or in classical mechanical elements such as beams or hooks is very common [31,32]. Different studies show the possibilities of lattice structures regarding their behavior and mechanical properties.…”

Section: Results and Discussion Case Study: A Bicycle Stemmentioning

confidence: 99%

Design for Additive Manufacturing: Tool Review and a Case Study

Nieto

Sánchez

2021

Applied Sciences

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This paper aims to collect in a structured manner different computer-aided engineering (CAE) tools especially developed for additive manufacturing (AM) that maximize the capabilities of this technology regarding product development. The flexibility of the AM process allows the manufacture of highly complex shapes that are not possible to produce by any other existing technology. This fact enables the use of some existing design tools like topology optimization that has already existed for decades and is used in limited cases, together with other novel developments like lattice design tools. These two technologies or design approaches demand a highly flexible manufacturing system to be applied and could not be used before, due to the conventional industrial process limitations. In this paper, these technologies will be described and combined together with other generic or specific design tools, introducing the study case of an additive manufactured mechanical design of a bicycle stem.

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Section: Results and Discussion Case Study: A Bicycle Stemmentioning

confidence: 99%

Design for Additive Manufacturing: Tool Review and a Case Study

Nieto

Sánchez

2021

Applied Sciences

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“…In the first category, optimization models are used for the design of different products or systems such as compressor reed valves (Wang et al, 2016) and heat transfer systems (Dbouk, 2017). In the second category, the trend is to integrate optimization with other tools such as computer-aided design (CAD) (Liu et al, 2016). In the third category, Lim et al (2013) propose a model in which an eco-design method is based on a single-objective optimization model, in which environmental impact costs are added to the economic cost.…”

Section: Literature Review and Paper Contributionmentioning

confidence: 99%

A decision-making framework for environmentally sustainable product design

Cheaitou

Gardoni

Hamdan

2019

Concurrent Engineering

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Design is a process through which customer needs are transformed into product or service specifications, and then used to develop a model or prototype. The prototype is tested, and modifications are brought to it before the production process starts. Moreover, the design process may be divided into different stages, starting from the definition of the customer needs, going through the conceptual design phase and ending up with the detailed design. In this article, we address the conceptual design phase, where the customer needs are assumed to be known. The proposed approach considers, based on customer needs, primary and secondary design criteria. Each design criterion has a set of predetermined possible values (options) from which the designer may select. Making the best selection of all the design features while satisfying the customer needs in terms of cost, quality (customer preference) and environmental performance is a combinatorial problem and therefore a decision-making framework would be helpful for the designers. In this article, the design criteria are evaluated using fuzzy technique for order preference by similarities to ideal solution based on cost, quality and environmental sustainability. A multiobjective and a single-objective binary programming models are then developed and solved, and their optimal solutions are obtained. The multiobjective solutions provide the decision makers with the possible trade-offs, whereas the single-objective model solution can be used as a final decision-making tool. The proposed approach is implemented in a user-friendly software developed by the authors. A case study is conducted using a baby car seat for which three main and six secondary design criteria are considered. The obtained results show the effectiveness of the approach used.

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“…Fast and effective product development is a need and must include two parameters: product quality improvement and reduction of production costs. In the papers (Liu et al, 2016;Meng et al, 2017;Uhl et al, 2017), different optimization problems are presented according to the product lifecycle stage. In Liu et al (2016), the problem of product design optimization via associative optimization feature modeling is analyzed.…”

Section: Introductionmentioning

confidence: 99%

“…In the papers (Liu et al, 2016;Meng et al, 2017;Uhl et al, 2017), different optimization problems are presented according to the product lifecycle stage. In Liu et al (2016), the problem of product design optimization via associative optimization feature modeling is analyzed. The authors propose an integrated product design optimization system which enables the complete data transfer between structural optimization and CAD modules.…”

Section: Introductionmentioning

confidence: 99%

Numerical optimization methods comparison based on the CFD conduction-convection heat transfer case

Młynarczyk

2019

HFF

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Purpose In some types of industries, the best possible design, in terms of thermal and flow performance, determines the success or failure of the company. This applies, among others, to the sectional elements that form doors, windows or prefabricated building walls. The purpose of this paper is to show the possibilities and limitations of the different response surface methods for optimization in the case where natural convection phenomenon appears inside the sectional structures. Design/methodology/approach A three-layered wall with air gap is used as a cross-section heat flow model. Response surface algorithms for optimization, which can be found in commercial software, e.g. ANSYS/WORKBENCH, can help to optimize geometrical structure of components to achieve bigger or smaller heat flux value. In this paper, the optimization methodology of the design of experiments (DOE) and different response surface (RS) methods are used. Findings Optimal results obtained with the use of genetic aggregation, standard RS, Kriging, non-parametric regression and neural network methods are compared with direct CFD and analytical calculations. Different limitations and advantages of the RS methods make individual methods more appropriate for different issues. For a properly defined optimization problem, the heat flux value approximated for the optimal geometry agrees with the direct CFD simulations. Practical implications The presented investigations show how to use response surface optimization methods for thermal optimization of the sectional elements and their applications to obtain reliable results. Originality/value This paper presents the value of the use of RS methods in CFD-based geometry optimization. The study also shows that the RS optimization methods can approximate thermal properties under natural convection development conditions.

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Product design-optimization integration via associative optimization feature modeling

Cited by 25 publications

References 48 publications

Design for Additive Manufacturing: Tool Review and a Case Study

Design for Additive Manufacturing: Tool Review and a Case Study

A decision-making framework for environmentally sustainable product design

Numerical optimization methods comparison based on the CFD conduction-convection heat transfer case

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