Machining precedence of 2½D interacting features in a feature-based data model

Mokhtar, Alireza; Xu, Xun

doi:10.1007/s10845-009-0268-8

Cited by 30 publications

(12 citation statements)

References 56 publications

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“…For the last two decades CAD/CAM technologies have been extensively developed to automate and integrate individual activities in the design and manufacturing cycle. Moreover, computer-aided process planning (CAPP) as a momentous task in product development cycle, has particularly attracted a lot of research interest (Kang et al 2003;Mokhtar and Xu 2011). The task involves interpretation and conversion of design specifications to appropriate data required for product manufacture.…”

Section: Introductionmentioning

confidence: 99%

“…Features are assumed inherently as a main factor in such an integration effort because of the association of various design, engineering and manufacturing data used by CAPP (Liu and Wang 2007;Tanaka and Kishinami 1998;Wang et al 2006). Proper sequencing of machining features still remains a challenging issue in CAPP due to its complexity and adherence to the class of nondeterministic polynomial-time problems (Mokhtar and Xu 2011). Its direct influence on machining efficiency and part quality has also been widely recognised.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Deja

Siemiątkowski

2012

J Intell Manuf

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“…They successfully implemented a prototype to detect and visualise feature interactions of both volumetric and surface types out of STEP-NC (ISO14649 version) [33].…”

Section: Step Features Design Recognition Interaction and Precedencementioning

confidence: 99%

“…This way, the working steps are ordered due to some precedence rules that can be applied to machining features. Precedence rules have been comprehensively discussed and applied in a prototype developed by Mokhtar and Xu [33]. The so-called hard and soft precedence constraints for interacting features and roughing and finishing operations are also dealt with.…”

Section: Step Features Design Recognition Interaction and Precedencementioning

confidence: 99%

Developing a STEP-Compliant Multiagent on an Interoperable and Integrated CAD/CAM Platform

Mokhtar

Valilai

2013

International Journal of Manufacturing Engineering

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Practical implementation of a STEP-based architecture to provide a fully integrated and interoperable platform of data exchange has always been an intriguing issue. A variety of CAD/CAM environments are struggling to embed and support STEP standard and its protocols in order to seamlessly operate within global data exchange. However, apparent paucity of efficient and reliable structure for data communication, manipulation, and restoration has remarkably hindered the desired progress. In this paper, taking these shortcomings into account, a practical architecture is introduced and STEP-based agents are implemented and installed on the platform. Moreover, feature recognition, interaction, and machining precedence as crucial issues of CAD/CAM research have been considered in developing the interoperable platform. Seamless integration and interaction of CAD/CAM modules are provided in the proposed system. The prototype is finally verified and discussed through a case study.

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“…Zhenkai Liu and Lihui Wang (2007) proposed many rules of precedence constraints such as machining constraint, fixture constraint, cutting tool constraint and tolerance/datum constraint. Alireza Mokhtar and Xun Xu (2011) developed a rule-based system about the precedence constraints of the interacting features in consideration of hard and soft constraints. N. Volarevic and P. Cosic (2005) proposed a method for selecting operation sequence by using matrix of precedence constraints.…”

Section: Introductionmentioning

confidence: 99%

Effective method of operation sequence optimization in CAPP based on modified clustering algorithm

Phung

Tran

Hoang

et al. 2017

JAMDSM

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Computer aided process planning (CAPP) is an important bridge between computer aided design (CAD) and computer aided manufacturing (CAM) in computer integrated manufacturing environment. Operation sequence generation is one of the most difficult tasks in CAPP. The aim of operation sequencing in CAPP is to determine the best order of machining operations with minimal manufacturing cost while satisfying all the precedence constraints. This paper presents a proposed method for optimizing operation sequence using modified clustering algorithm. The key concept of method is that the precedence constraints are firstly checked for selecting all possible next operations of the last operation in the sequence and their traveling costs are compared to choose the optimal feasible operation which has the minimum traveling cost in the sequence. Then, all operation sequences are calculated the total traveling cost for obtaining the optimal sequence result. Because of removing all unfeasible sequences at the beginning of procedure and selecting the optimal operation into sequence in each step, the time can be significantly reduced. The capability and performance of the proposed method are demonstrated in three specific case studies. The comparisons show that the proposed method can solve the problem in much lesser computational time while generating more alternate optimal feasible sequences than previous algorithms. Phung, Tran, Hoang and Truong, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol.11, No.1 (2017) cutting tools, and set-up allows reducing the machining cost while the machine changes, set-up changes, and cutting tool changes related to traveling cost. The selection of manufacturing resources is based on the machine, setup or cutting tool cost. The optimal selection should have the minimum manufacturing resource cost while ensuring machining technology. Many researchers have approached the problem of minimizing the traveling cost to obtain the optimal operation sequences based on all selected manufacturing resources. To solve this issue, several researchers proposed various methods using artificial intelligence algorithms (Roman Stryczek 2007). Bhaskara Reddy SV et al. (1999) applied genetic algorithm to obtain the optimal operation sequence. It is based on consideration of traveling cost and precedence constraints. Jaber Abu Qudeiri et al. (2007) found the efficient sequence of operations located in asymmetrical locations and different levels to achieve the shortest cutting tool travel path based on genetic algorithm. It is effectively demonstrated by the application of finding operation sequence in hole making series in different levels. JinFeng Wang et al. (2011) developed a modified genetic algorithm for process planning optimization. The natural number composing of five decimal codes was adopted in coding strategy. Krishna AG and Rao KM (2006) presented an operation sequence optimization method based on ant colony algorithm. G. Nallakumarasamy et al. (2011) developed an algori...

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Machining precedence of 2½D interacting features in a feature-based data model

Cited by 30 publications

References 56 publications

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

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

Developing a STEP-Compliant Multiagent on an Interoperable and Integrated CAD/CAM Platform

Effective method of operation sequence optimization in CAPP based on modified clustering algorithm

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