A process planning system with feature based neural network search strategy for aluminum extrusion die manufacturing

Aluminum extrusion die manufacturing is a critical task for productive improvement and increasing potential of competition in aluminum extrusion industry. It causes to meet the efficiency not only consistent quality but also time and production cost reduction. Die manufacturing consists first of die design and process planning in order to make a die for extruding the customer's requirement products. The efficiency of die design and process planning are based on the knowledge and experience of die design and die manufacturer experts. This knowledge has been formulated into a computer system called the knowledge-based system. It can be reused to support a new die design and process planning. Such knowledge can be extracted directly from die geometry which is composed of die features. These features are stored in die feature library to be prepared for producing a new die manufacturing. Die geometry is defined according to the characteristics of the profile so we can reuse die features from the previous similar profile design cases. This paper presents the CaseXpert Process Planning System for die manufacturing based on feature based neural network technique. Die manufacturing cases in the case library would be retrieved with searching and learning method by neural network for reusing or revising it to build a die design and process planning when a new case is similar with the previous die manufacturing cases. The results of the system are dies design and machining process. The system has been successfully tested, it has been proved that the system can reduce planning time and respond high consistent plans

Combining Axiomatic Design and Case-Based Reasoning in a Design Methodology of Mechatronics Products

Organised by: Cranfield UniversityCurrent market environments are volatile and unpredictable. The ability for design products to meet customer’s requirements has become critical to success. The key element to develop such products is identifying functional requirements and knowledge utilization based on a scientific approach to provide both designers of new products and redesigners of existing products with a suitable solution that meets to customer’s needs. This paper presents a method to (re)design mechatronic products by combining the axiomatic design and case-based reasoning approaches. Innovation has increased the new product value, which has improved the product efficiency and the need for new engineered design method.Mori Seiki – The Machine Tool Compan

Case-based reasoning for adaptive aluminum extrusion die design together with parameters by neural networks

Global Product Development 2011, Part 13, 491-496, DOI: 10.1007/978-3-642-15973-2_50 ISBN 978-3-642-15972-5International audienceNowadays Aluminum extrusion die design is a critical task forimproving productivity which involves with quality, time and cost. Case-Based Reasoning (CBR) method has been successfully applied to support the die design process in order to design a new die by tackling previous problems together with their solutions to match with a new similar problem. Such solutions are selected and modified to solve the present problem. However, the applications of the CBR areuseful onlyretrievingprevious features whereas the critical parameters are missing. In additions, the experience learning to such parameters are limited. This chapter proposes Artificial Neural Network(ANN) to associate the CBR in order to learning previous parameters and predict to the new die design according to theprimitive die modification. The most satisfactory is to accommodate the optimal parameters of extrusion processes

TRIZ method for light weight bus body structure design

International audiencePurpose: The purpose of the work is the generalization of available data on averting and using the thermal deformations in the technology, the analysis of the methods of compensating the thermal deformations with the use of tools TRIZ (Principles, Contradictions, Su-Field analysis, Trends of Development); the determination of the promising tendencies in region (in accordance with the Trends of the Development of Technical Systems). Design/methodology/approach: TRIZ methodology is employed to assist the way to get new drawing which is used to resolve the contradictions. The 40 engineering principles are also used as the design guideline. In order to ensure that the trusts, the components of the frame, remains as the new bus body structure frame is sufficient strong, the FE method is used to validate the strength of the new body design based on the material property selection. Individual frame analysis is implemented. Findings: TRIZ is a problem solving method based on logic and data, not intuition, which accelerates the project team's ability to solve these problems creatively. TRIZ also provides repeatability, predictability, and reliability due to its structure and algorithmic approach. TRIZ is the (Russian) acronym for the "Theory of Inventive Problem Solving. TRIZ is an international science of creativity that relies on the study of the patterns of problems and solutions, not on the spontaneous and intuitive creativity of individuals or groups. Practical implications: The TRIZ principle and parameters are applied to assist a light weight bus body design which is compared to the existing design. The bus body model is created by CAD and transfer data to CAE using FE analysis. The weight reduction process is then followed up from the analysis. The new light weight bus body design is tested by the same method of FE analysis. The same result of body strength is accepted and can use for design and manufacturing. Originality/value: Tested TRIZ method can save material used, production cost and time

Industrial Knowledge Management using Collaborative Knowledge Acquisition in a Consultancy Project

International audienc

Negociation between designers and manufacturers in the wood furniture industry

International audienc