Indexing and retrieval in case-based process planning for multi-stage non-axisymmetric deep drawing

Zhang, W.Y.; Tor, Shu Beng; Britton, G. A.

doi:10.1007/s00170-004-2333-y

Cited by 25 publications

(11 citation statements)

References 17 publications

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“…Zhang et al [18] use feature based case representation for indexing non-axisymmetric deep drawing parts. A retrieval engine is applied to determine the most similar parts and retrieve the corresponding process plans.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In many cases, design practice is based on past experiences and these experiences are adapted to solve new problems [18]. Hence to reuse previous cost estimation experience, it is necessary to define cases by analyzing the offer process to identify documents (e.g., CAD models, offers/orders) and data model (see Fig.…”

Section: Reuse Of Process Plans Using Cbrmentioning

confidence: 99%

“…Each option leads to a different retrieval process. An efficient search mechanism based on product geometry and various features is already implemented and has been successfully evaluated [18,19,20].…”

Section: Reuse Of Process Plans Using Cbrmentioning

confidence: 99%

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Cost estimation of automotive sheet metal components using knowledge-based engineering and case-based reasoning

Karadgi

Müller

Metz

et al. 2009

2009 IEEE International Conference on Industrial Engineering and Engineering Management

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Responding quickly to a customer's request with a sufficiently precise offer is one of the challenges faced by almost every manufacturing enterprise. Currently, necessary information is passed from department to department and in many cases this information is waiting to be processed. Further, number of offers that are converted into orders is small making the process of preparing an offer relatively costly. Research has been carried out to automatically determine process plans and estimate cost of simple sheet metal components. Unfortunately, this research has not been extended to simultaneously determine process plan and cost of complex deep drawn components. To overcome these drawbacks and to substantially improve the efficiency and precision of the time consuming process of offer preparation, a new methodology is presented which utilizes knowledge-based engineering and case-based reasoning. Inputs obtained to create an offer can be used to generate basic tool structure for the downstream processes.Keywords -Case-based reasoning, cost estimation, deep drawn sheet metal component, knowledge-based engineering 978-1-4244-4870-8/09/$26.00 ©2009 IEEE

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Section: Literature Reviewmentioning

confidence: 99%

Section: Reuse Of Process Plans Using Cbrmentioning

confidence: 99%

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Cost estimation of automotive sheet metal components using knowledge-based engineering and case-based reasoning

Karadgi

Müller

Metz

et al. 2009

2009 IEEE International Conference on Industrial Engineering and Engineering Management

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“…By using a hierarchical classification structure, a stamped metal part with four stamping feature categories is represented as a case in the case library. Zhang et al [23] extended the work of Tor et al by extracting a set of deep drawing features for multi-stage, non-axisymmetrical sheet-metal deep drawing. Liu et al [13] presented a novel representational model for objected-oriented case information relationship.…”

Section: Introductionmentioning

confidence: 98%

Knowledge-based Engineering for Process Planning and Die Design for Automotive Panels

Tsai

You

Lin

et al. 2010

Computer-Aided Design and Applications

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This work automates process planning and die design in automotive panel production using a novel knowledge-based engineering (KBE) methodology. Automotive panels are more complicated than common stamped parts because automotive panels are composed of groups of freeform surfaces. Stamping process planning identifies and sequences the necessary operations, finally producing the appropriate press dies. Case-based reasoning (CBR) is integrated into ordinary process planning and die design processes to generate a hybrid KBE system. Utilizing the CBR methodology to plan stamping process and design stamping dies for automotive panels reuses existing designs to develop new designs. In the proposed flexible system, process-planning and die-design functions can adapt existing designs or generate new designs based on stamping knowledge. Tacit knowledge of stamping parts is preserved and automotive panel manufacturing is accelerated by design automation when using the proposed KBE system. 76 engineering applications. Wang and Bourne [20] identified important features for the sheet-metal bending process. The application of features and potential problems associated with feature interaction were also discussed. Tang et al. [18] proposed an intelligent feature-based design for a stamping system to evaluate stamping ability. Smith et al.[17] devised a relational system that efficiently integrates feature-based process planning and expert system strategies for sheet-metal parts. However, successful extraction of stamping features during the feature recognition phase is difficult with feature-based techniques, especially when features intersect.An increasing number of advanced technologies, including knowledge-based engineering (KBE), are adopted to support various aspects of the product life-cycle [14][15]. Notably, KBE is a novel artificial intelligence methodology for solving engineering problems. Using intelligent methods for process planning and die design enhances design quality and the ability for innovative design. Based on the KBE technique, engineering tasks are carried out using knowledge not immediately accessible. Therefore, utilizing the KBE methodology, in which experience and knowledge used in current designs improves production efficiency of panel stamping [2].

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“…The traditional stamping process is direct stamping; the slide of the mechanical press is directly stamped to the mold due to the simple slide motion system. For some complex shape automotive parts, multi-stage forming has to be performed [4]. However, there are many disadvantages in mechanical stamping and multi-stage processes.…”

Section: Introductionmentioning

confidence: 99%

Effects of Servo Tensile Test Parameters on Mechanical Properties of Medium-Mn Steel

Chi

Han

2019

Materials

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As a new type of third-generation automotive steel with high strength and plasticity, medium-Mn steel (MMnS) has been widely used in automotive industries for its excellent properties. In recent years, servo stamping technology for high-strength metal forming is a hot topic due to its good performance in forming under complex processing conditions, and servo parameters determine the forming quality. In this paper, experiments considering tensile speed and position where speed changes (PSC) were carried out on MMnS to investigate the influences of tensile parameters on mechanical properties including strength and total elongation (TE). The results show that PSC does not significantly impact total elongation. Initial tensile speed (ITS) and final tensile speed (FTS) significantly impact the total elongation. The interaction between all tensile parameters can impact total elongation. Two artificial neural networks, back propagation neural network (BPNN) and radial basis function neural network (RBFNN), were used to establish analytical models. The results of supplemental experiment and residual analysis were conducted to verify the accuracy of the analytical models. The BPNN has a better performance and the analytical model shows that with the increase of PSC, it has a slight impact on the changes of optimal and minimum total elongation, but the combinations of tensile parameters to obtain total elongations higher than 40% change significantly.

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Indexing and retrieval in case-based process planning for multi-stage non-axisymmetric deep drawing

Cited by 25 publications

References 17 publications

Cost estimation of automotive sheet metal components using knowledge-based engineering and case-based reasoning

Cost estimation of automotive sheet metal components using knowledge-based engineering and case-based reasoning

Knowledge-based Engineering for Process Planning and Die Design for Automotive Panels

Effects of Servo Tensile Test Parameters on Mechanical Properties of Medium-Mn Steel

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