A Framework for Integrated Computer-Aided Design, Process Planning and Manufacturing Systems Engineering for Powertrain Machining

Author(s):  
Derek Yip-Hoi ◽  
Jianming Li ◽  
Liang Zhou ◽  
Wencai Wang ◽  
Madhumati Ramesh ◽  
...  

Machined powertrain components are a subset of machined parts that introduce unique and difficult problems to product design, process planning and manufacturing system design for the automotive industry. They are complex, high value-added components that must be produced at large volumes to stringent quality standards. Accordingly product development cycles are typically long. Integrated computer-aided approaches are thus desirable for reducing this time and helping manufacturing engineers design the best process and specify the optimal manufacturing system configuration. This paper presents a framework for integrating Computer-Aided Design (CAD), Computer-Aided Process Planning (CAPP) and Computer-Aided Manufacturing Systems Engineering (CAE-MS) for producing machined powertrain components. It describes the key components of this framework and in some cases details of the methods and technologies adopted for their realization. This solution is based upon a feature-centric philosophy. This stands in contrast to the product-variant approach that has been common practice in this industry.

Author(s):  
Robert V. E. Bryant ◽  
Thomas J. Laliberty

Abstract Integrated Product Process Development tools which minimize downstream manufacturing risk at the earliest design stages and avoid costly Design-Build-Test cycles are essential to achieving product profitability and meeting market windows. This paper summarizes initial work performed towards the development of the Manufacturing Simulation Driver (MSD) system which will demonstrate the automatic generation and execution of distributed manufacturing simulations. These simulation models are produced by Computer Aided Process Planning (CAPP) software tools which reason about Computer Aided Design (CAD) product models and produce manufacturing “scripts” from a process and resource model of a manufacturing facility. This capability will enable emerging virtual enterprises conducting collaborative design and manufacturing to simulate and prove out the manufacturing cycle of a product prior to launching production ramp-up. 1


Author(s):  
C. C. Hayes

Abstract This paper describes CHAMP, a conceptual architecture designed to support the task of passing information from computer-aided design systems to computer-aided process planning systems.1 Current integration systems are lacking in the flexibility of both their information-exchange mechanisms and in their control structures. The result is a sacrifice in the efficiency of solutions produced. The proposed architecture is based on models of human process planning, and aims to improve the effectiveness of CAD/CAPP integration by providing more flexible communications and control structures through shared blackboards, and by providing a mechanism for reasoning about intermediate solution states. The architecture is intended to summarize the current understanding of the CAD/CAPP integration task and to elucidate areas where further research is required.


Science Scope ◽  
2017 ◽  
Vol 041 (01) ◽  
Author(s):  
Nicholas Garafolo ◽  
Nidaa Makki ◽  
Katrina Halasa ◽  
Wondimu Ahmed ◽  
Kristin Koskey ◽  
...  

Author(s):  
Haichao Wang ◽  
Jie Zhang ◽  
Xiaolong Zhang ◽  
Changwei Ren ◽  
Xiaoxi Wang ◽  
...  

Feature recognition is an important technology of computer-aided design/computer-aided engineering/computer-aided process planning/computer-aided manufacturing integration in cast-then-machined part manufacturing. Graph-based approach is one of the most popular feature recognition methods; however, it cannot still solve concave-convex mixed interacting feature recognition problem, which is a common problem in feature recognition of cast-then-machined parts. In this study, an oriented feature extraction and recognition approach is proposed for concave-convex mixed interacting features. The method first extracts predefined features directionally according to the rules generated from attributed adjacency graphs–based feature library and peels off them from part model layer by layer. Sub-features in an interacting feature are associated via hints and organized as a feature tree. The time cost is reduced to less than [Formula: see text] by eliminating subgraph isomorphism and matching operations. Oriented feature extraction and recognition approach recognizes non-freeform-surface features directionally regardless of the part structure. Hence, its application scope can be extended to multiple kinds of non-freeform-surface parts by customizing. Based on our findings, implementations on prismatic, plate, fork, axlebox, linkage, and cast-then-machined parts prove that the proposed approach is applicable on non-freeform-surface parts and effectively recognize concave-convex mixed interacting feature in various mechanical parts.


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