Multi-objective optimisation of product quality in the manufacture of Ti-6Al-4V prostheses

2010 ◽  
Vol 5 (3) ◽  
pp. 353
Author(s):  
Jose Vicente Abellan Nebot ◽  
Hector R. Siller Carrillo ◽  
Carlos Vila Pastor ◽  
Ciro A. Rodriguez Gonzalez
Keyword(s):  
Product Quality ◽  
Multi Objective

Optimal Tolerance Allocation of Automotive Pneumatic Control Valves Based on Product and Process Simulations

2006 ◽  
Author(s):  
Naesung Lyu ◽  
Amane Shimura ◽  
Kazuhiro Saitou
Keyword(s):  
Product Quality ◽  
Production Cost ◽  
Radial Basis Function Network ◽  
Discrete Event ◽  
Computational Method ◽  
Tolerance Allocation ◽  
Production Volume ◽  
Pneumatic Control ◽  
Multi Objective ◽  
Trade Offs

This paper discusses a computational method for optimally allocating dimensional tolerances for an automotive pneumatic control valve. Due to the large production volume, costly tight tolerances should be allocated only to the dimensions that have high influence to the quality. Given a parametric geometry of a valve, the problem is posed as a multi-objective optimization with respect to product quality and production cost. The product quality is defined as 1) the deviation from the nominal valve design in the linearity of valve stroke and fluidic force, and 2) the difference in fluidic force with and without cavitation. These quality measures are estimated by using Monte Carlo simulation on a Radial-Basis Function Network (RBFN) trained with computational fluid dynamics (CFD) simulation of the valve operation. The production cost is estimated by the tolerance-cost relationship obtained from the discrete event simulations of valve production process. A multi-objective genetic algorithm is utilized to generate Pareto optimal tolerance allocations with respect to these objectives, and alternative tolerance allocations are proposed considering the trade-offs among multiple objectives.

PRODUCT QUALITY MULTI-OBJECTIVE DRYER DESIGN

1999 ◽  
Vol 17 (10) ◽  
pp. 2251-2270 ◽  
Author(s):  
C.T. Kiranoudis ◽  
Z.B. Maroulis ◽  
D. Marinos-Kouris
Keyword(s):  
Product Quality ◽  
Multi Objective

A Multi-Objective Optimization of a Porthole Die Extrusion for Quality and Sustainability Issues

2014 ◽  
Vol 622-623 ◽  
pp. 79-86
Author(s):  
Claudio Ciancio ◽  
Claudia Varrese ◽  
Giuseppina Ambrogio ◽  
Luigino Filice ◽  
Roberto Musmanno
Keyword(s):  
Environmental Impact ◽  
Product Quality ◽  
Optimization Techniques ◽  
Manufacturing Companies ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Porthole Die ◽  
Decision Variables ◽  
Die Extrusion ◽  
Porthole Die Extrusion

Nowadays manufacturing companies have to face conflicting issues continuously. Solving this type of problem means finding solutions that ensure a fair compromise between different objectives. In this work, a porthole die extrusion is considered as a specific case study. Usually, the main objective of this process is to find the combination of input parameters that allow the product quality to be maximized. However, product quality is not the only variable that companies have to take into account. In fact, it is also necessary to design the process in an efficient and sustainable way in order to reduce process cost and environmental impact. To this purpose, in this study the conflicting aims of product quality maximization and energy assumption minimization are considered and optimized. To pursue this aim an experimental investigation was executed, in order to build a preliminary database. The decision variables are the profile thickness and the process velocity. During the tests, the punch was measured in order to quantify the absorbed power along with the environmental impact of the process for changing conditions. In the same way, the mechanical properties of the extruded profile were measured by means of a tensile test, in order to assess the product quality. To solve this kind of problem the use of multi-objective optimization techniques is required in order to find the set of Pareto optimal solutions from which a single configuration will be selected according to specific business needs.

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