ISO 14649-based nonlinear process planning implementation for complex machining

Chung, Dae-Hyuk; Suh, Suk-Hwan

doi:10.1016/j.cad.2008.01.009

Cited by 44 publications

(24 citation statements)

References 17 publications

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“…Using the quantitative approach the process selection and sequencing problem is formulated as the minimization of an objective function and mostly of total manufacturing time and/or cost subject to definite constraints, as it is assumed by Chung and Suh (2008) as well as Sormaz and Khoshnevis (2003). Thereby, process planning function can be realised by a two-stage procedure comprising: intra-and inter-feature planning (Wong et al 2003), also termed as micro-and macro planning by such authors as: Mokhtar et al (2009);Srinivasan and Sheng (1999) or Zhao et al (2009).…”

Section: Modelling Framework In Process Plan Decision-makingmentioning

confidence: 99%

“…Mostly, as reported e.g. in the paper by Chung and Suh (2008), a limited range of the machine tools capabilities is used at any given instant. Consequently, reconfigurable machines and their systems, which can provide only the flexibility needed to produce a specific parts spectrum and to avoid unused capacity of multiaxis work centres, have gained ground instead.…”

Section: Introductionmentioning

confidence: 99%

“…Offering several process plan solutions for diverse machined components, may be helpful in the relaxation of the constraints in the optimisation of production schedules and process control. This in turn may yield more efficient utilisation of machine resources, correspondingly to reductions in manufacturing cycle times (Sormaz and Khoshnevis 2003;Chung and Suh 2008).…”

Section: Introductionmentioning

confidence: 99%

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Feature-based generation of machining process plans for optimised parts manufacture

Deja

Siemiątkowski

2012

J Intell Manuf

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Efficacious integration of such CAx technologies as CAD, CAM and CAPP still remains a problem in engineering practice which constantly attracts research attention. Design by feature model is assumed as a main factor in the integration effort in various engineering and manufacturing domains. It refers principally to feature clustering and consequently operation sequencing in elaborated process plan designs. The focus of this paper is on CAPP for parts manufacture in systems of definite processing capabilities, involving multi-axis machining centres. A methodical approach is proposed to optimally solve for process planning problems, which consists in the identification of process alternatives and sequencing adequate working steps. The approach involves the use of the branch and bound concept from the field of artificial intelligence. A conceptual scheme for generation of alternative process plans in the form of a network is developed. It is based on part design data modelling in terms of machining features. A relevant algorithm is proposed for creating such a network and searching for the optimal process plan solution from the viewpoint of its operational performance, under formulated process constraints. The feasibility of the approach and the algorithm are illustrated by a numerical case with regard to a real application and diverse machine tools with relevant tooling. Generated process alternatives for complex machining with given systems, are studied using models programmed in the environment of Matlab software.

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Section: Modelling Framework In Process Plan Decision-makingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Feature-based generation of machining process plans for optimised parts manufacture

Deja

Siemiątkowski

2012

J Intell Manuf

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“…Currently, the literature in this field mainly focuses on synchronous machining of two workpieces, 2 while few literature could be found about the synchronous machining of a single workpiece. This article focuses on the latter.…”

Section: Introductionmentioning

confidence: 99%

A novel hybrid discrete differential evolution algorithm for workingsteps sequencing in multi-channel turn-milling complex machining

Shi

Qiao

Zhu

2015

Advances in Mechanical Engineering

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To address the problem of workingsteps sequencing in multi-channel turn-milling complex machining, a novel hybrid optimization algorithm titled hybrid discrete differential evolution has been proposed, which improves the algorithm to achieve better results for the workingsteps sequencing problem. The main thrust of this article is twofold: (1) to analyze the characteristics of synchronous machining in multi-channel turn-milling complex machining and their constraints, and to propose a zero-wait micro-resource allocation strategy; (2) to develop a hybrid discrete differential evolution algorithm for process planning in multi-channel turn-milling complex machining, and to describe in detail about the operation of crossover, mutation, and selection. Then, analysis of variance has been used to investigate the contribution and effects of variables (parameters) in hybrid discrete differential evolution, so the optimal parameters can be obtained. Finally, a comparison of the performance and efficiency between the proposed algorithm and the classical differential evolution algorithm is made. And experimental results show that the hybrid discrete differential evolution algorithm is good at solving the sequencing problem, and the results approximate the optimum expectation.

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“…Liu riliang [2] study early NC machining processing model oriented STEP -NC controller, the step is sorted by heuristic algorithm. Dae-Hyuk Chung [3] study process planning of compound machining based on branch constraint and engineering experience, and the nonlinear process planning method is proposed based on STEP-NC(ISO 14649). P. Li [4] develop process planning system fused with CNC controller based on STEP-NC, the process planning system can generate optimized tool path based on knowledge and rules.…”

Section: Introductionmentioning

confidence: 99%

Stimulation Generation Method of STEP-NC Process Routing Based on FBM Constrained Relationship

Gu¹,

Huang²,

Xu³

2015

Proceedings of the 2015 International Conference on Applied Science and Engineering Innovation

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Abstract. The excitation selection sort method of manufacturing feature was proposed based on the characteristics oriented to manufacturing feature of STEP-NC to realize the process route planning of STEP-NC. First, match the recognizing manufacturing feature, the manufacturing feature with multi machining operation was disintegrated in order that every manufacturing feature has only a processing operation. Then, the rationality constraint problems of machining operation was translated into the processing order problem of manufacturing feature, and the optimal constraint problem of machining operation was translated into the corresponding manufacture feature set. The process route was generated by the operations of excitation, selection, deletion and transfer for the feature of different manufacture feature set. The last, the feasibility and effectiveness of the process route excitation generation method was verified by an example, and show that this method was better solved the problems of process rules and the representation of knowledge.

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ISO 14649-based nonlinear process planning implementation for complex machining

Cited by 44 publications

References 17 publications

Feature-based generation of machining process plans for optimised parts manufacture

Feature-based generation of machining process plans for optimised parts manufacture

A novel hybrid discrete differential evolution algorithm for workingsteps sequencing in multi-channel turn-milling complex machining

Stimulation Generation Method of STEP-NC Process Routing Based on FBM Constrained Relationship

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