Dinh Son Nguyen

Geometrical Deviation Model of product throughout its life cycle

Nowadays, the requirements of customers concerning a product are more and more tight and high. The satisfaction of these, such as quality, reliability, robustness and cost, plays an important role in the context of global and concurrent economy. However, a product, during its life cycle, passes through manufacturing and assembly stages where geometrical deviations are generated and accumulated. These deviations that obviously have an influence on the performances of the product are not considered. Thus, a model based on the small displacement torsor that allows to model the geometrical deviations of the product is proposed in this paper. (Received 18 March 2010; Revised 20 August 2010; Accepted 1 October 2010)

Total quality management in product life cycle

Today, the development of science and information technology supports engineering product designer to solve the more and more complex and difficult requirements of clients for product. The quality assurance of designed product during its life cycle plays a very important role in the context of global and concurrent economy. Many different parts of the final product are manufactured from raw material, different places and manufacturing processes. The designed product runs the risk of being unsatisfactory to requirements of clients. Thus, this paper proposes a method that allows managing the quality of product during its life cycle at design stage.

A method to generate lattice structure for Additive Manufacturing

Additive Manufacturing (AM), popularly called 3D Printing, is a scientific term indicating the Rapid Prototyping (RP) technologies developed in 1980s. AM technologies can directly fabricate a complex 3D object from three-dimensional Computer Aided Design (3D CAD) model by adding layer-by-layer of material. Advances in AM technologies are capable of manufacturing highly complicated geometries of product without the need for process planning, the reduction of product development time and cost, the removal of tooling compared to conventional manufacturing technologies. The production of lattice structures is quickly performed by AM technologies in order to attain a product with lightweight and stronger and to provide the high specific mechanical properties such as strength and energy absorption. However, the current product modelling technologies have many difficulties for generation of lattice structure model. Thus, the paper proposes a new approach that allows to create different configuration types of conformal and non-conformal lattice structure model.

Application of Bayesian networks for product quality management in a multistage manufacturing process

Nowadays, requirements of clients and customers for the quality of product are more and more tightened and complicated. The quality assurance of manufactured product is a key to success in the context of global and competitive economy. Many different parts of final product are made from raw material by multistage manufacturing processes in different places. The risk is that the final manufactured product does not fully meet the requirements. Thus, the paper proposes a method based on Bayesian networks that allows to model impact factors in a multistage machining process on product quality. The root cause analysis can be implemented by using the Bayesian network model. As a result, product quality predicted earlier at design stage can help product designer adjust the product designed and manufacturing processes in order to obtain a robust design with promised quality.

Integration of Multiphysical Phenomena in Robust Design Methodology

Due to the development of science and technology the requirements of customers and users for a product are more and more tight and higher. The satisfaction of these, such as quality, reliability, robustness and cost of the product plays an important role in the context of global and concurrent economy. However, there are many variation sources during the product life cycle such as material defects, manufacturing imperfection, different use conditions of the product, etc. It can make the designed product not to meet fully the requirements of the users. Thus, we propose, in this chapter, several analysis methods based on data mining tools in order to analyze the result of performance simulation of the product taking into account the geometrical deviations generated during its life cycle. These methods allow classifying and identifying factors that influence on performance of the designed product. With these methods, the product designers can analyze the “real” performance under geometrical variation sources generated in the practical environment. Moreover, the proposed methods can be used to transfer back the result of the “real” performance analysis of the product to the manufacturer and product designer in order to obtain a robust product.

Product Performance Simulation with Geometric Deviations throughout Its Life Cycle

Due to rapidly development of technology and strictly competition in the context of global and concurrent economy, the requirements of customers such as quality, reliability, sustainability and cost of products are more and more high and tightened. Thus satisfaction of those is an important key of product designers. However, the product designers work principally on the nominal model of the product or virtual manufacturing within a CAD/CAM system. These models can only represent the nominal information of product and have not ability to deal with various kinds of deviations, especially geometric deviations generated and accumulated throughout the product life cycle stage by material defects, manufacturing errors, assembling inaccuracy, etc. These deviations can make the designed product not to meet fully and systematically the requirements of the customers and the users. Thus, it is necessary to take the geometric deviations into account the “real” performance simulation. In this paper, we propose geometric deviation modelling suitable for all stages of the product life cycle, especially manufacturing and assembly stages and a method to integrate the geometric deviations of the product into the “real” performance simulation. As a result, the product designers can generate the performance of the population of “real” products. They can thus verify that the product they are designing would have “real” performances satisfying or dissatisfying the requirements of customers and users.