A study of optimal design support of global product family by structural analysis of solution space

2020 ◽  
Vol 2020.30 (0) ◽  
pp. 2302
Author(s):  
Masataka KAIHARA ◽  
Masato TOI ◽  
Yutaka NOMAGUCHI ◽  
Kikuo FUJITA
Keyword(s):  
Structural Analysis ◽  
Optimal Design ◽  
Product Family ◽  
Solution Space ◽  
Design Support

Structural Analysis and Optimal Design of Lightweight Skate for Loading and Unloading

2013 ◽  
Vol 785-786 ◽  
pp. 1258-1261
Author(s):  
In Pyo Cha ◽  
Hee Jae Shin ◽  
Neung Gu Lee ◽  
Lee Ku Kwac ◽  
Hong Gun Kim
Keyword(s):  
Topology Optimization ◽  
Structural Analysis ◽  
Optimal Design ◽  
Optimization Techniques ◽  
Normal Operation ◽  
Stress And Strain ◽  
Initial Model ◽  
Design Variables ◽  
Model Set ◽  
Main Frame

Topology optimization and shape optimization of structural optimization techniques are applied to transport skate the lightweight. Skate properties by varying the design variables and minimize the maximum stress and strain in the normal operation, while reducing the volume of the objective function of optimal design and Skate the static strength of the constraints that should not degrade compared to the performance of the initial model. The skates were used in this study consists of the main frame, sub frame, roll, pin main frame only structural analysis and optimal design was performed using the finite element method. Simplified initial model set design area and it compared to SM45C, AA7075, CFRP, GFRP was using the topology optimization. Strength does not degrade compared to the initial model, decreased volume while minimizing the stress and strain results, the optimum design was achieved efficient lightweight.

Optimal design of the S-rail family for an automotive platform with novel modifications on the product-family optimization process

2019 ◽  
Vol 138 ◽  
pp. 143-154 ◽  
Author(s):  
Seyyed Mohammad Hosseini ◽  
Mohammad Arjomandi Rad ◽  
Abolfazl Khalkhali ◽  
Mohammad Javad Saranjam
Keyword(s):  
Optimal Design ◽  
Product Family ◽  
Optimization Process ◽  
Product Family Optimization

scholarly journals Cordon Pricing Considering Air Pollutants Emission

2016 ◽  
Vol 28 (2) ◽  
pp. 179-189
Author(s):  
Shahriar Afandizadeh ◽  
Seyed Ebrahim Abdolmanafi
Keyword(s):  
Optimal Design ◽  
Air Pollutants ◽  
Solution Space ◽  
Solution Algorithm ◽  
Multi Objective ◽  
Pricing Scheme ◽  
Strength Pareto Evolutionary Algorithm ◽  
Pollutants Emission ◽  
Objective Model

This paper considers the issue of air pollutants emission for the optimal and sustainable determination of cordon location, toll level, and price of park and ride (P&R). Although air pollutants emission decreases within the cordon by the implementation of cordon pricing scheme, it may increase outside the cordon and the whole network. Hence, air pollutants emission may only transfer from inside of the cordon to its outside. Therefore, in this paper, a multi-objective bi-level optimization model is developed. A solution algorithm is also presented based on the second version of strength Pareto evolutionary algorithm (SPEA2). The results reveal that this multi-objective model can be a useful tool for the sustainable and optimal design of the cordon and P&R scheme. In addition, cordon pricing is a multi-objective problem. Therefore, it is necessary to consider air pollutants emission. By choosing another non-dominated result in the solution space, air pollutants emission outside the cordon and the whole network can be reduced without a significant reduction in social welfare.

A Cost Model for Optimal Design of Hierarchic Product Platform under Coupled Architecture

2012 ◽  
Vol 452-453 ◽  
pp. 516-520
Author(s):  
Yan Ling Cai ◽  
Zhen Hua Cui
Keyword(s):  
Optimal Design ◽  
Cost Model ◽  
Product Family ◽  
Product Platform ◽  
Product Family Design ◽  
Flexible Design ◽  
Platform Design ◽  
Cost Drivers ◽  
Difficult Decision

Product platform design is essentially a difficult decision to make, thus a hierarchic platform has been proposed to solve the inherent tradeoff for optimization. However, architecture coupling adds on complexity of the platform design. This paper proposes an improved cost model for the optimal design of platform design in the hierarchic manner with the consideration of the architecture coupling. This cost model uniquely treats the architecture couplings and their decoupling interfaces as latent cost drivers to enable the flexible design of product platform and its family. As a support, the underlying tradeoff mechanism of platform-based product family design is also analyzed in this paper.

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