Adaptive setup planning of prismatic parts for machine tools with varying configurations

An integrated manufacturing system needs automated conversion of design information into its manufacturing counterpart. This is partly dealt with in the present study for extracting the manufacturing information for computer-aided process planning systems, including the identification of tool approach direction, attributing the dimensional and geometric tolerances to the machining features, and identification of the reference faces. In spite of extensive study conducted on computer-aided process planning systems, further investigation is still needed to develop automation in attributing tolerances to machining features and identifying the reference faces. The authors have proposed new methods to implement these tasks. A detailed case study has been used to illustrate the application of the developed algorithms.

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“…The TAD of a feature is an important parameter in setup planning, which influences the number of setups and the accuracy of machining. 19,20…”

Section: Identification Of the Tool Approach Directionmentioning

confidence: 99%

Extracting the manufacturing information of machining features for computer-aided process planning systems

Manafi

Nategh

Parvaz

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Hebbal and Mehta 19 presented a formalized procedure for setup planning which considered the basic concepts of setup planning and calculated process tolerances to achieve design tolerances. Cai et al 20 proposed an adaptive setup planning (ASP) by considering the tool orientation space of different multi-axis machine tools to minimize the number of setups which is the basic idea for many other researches. Abedini et al 21 proposed an automatic system for setup planning and fixture design to determine the effect of locator height error on hole position tolerance.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Selected operations are assigned to the available resources sequentially, then if two operations of a part are on a machine successively, search whether there is the possibility of merging those in which case the common primary locating surface is chosen; otherwise a locating surface is randomly chosen for each. For four-axis and five-axis machines, the merging of different setups is done using the ASP approach that was proposed by Cai et al 20 This approach searches a primary locating surface for different setups which have the common tool orientation space. Applying this algorithm leads to generating a feasible random solution (Figure 9).…”

Section: Proposed Algorithmmentioning

confidence: 99%

Multipart setup planning through integration of process planning and scheduling

Haddadzade

Razfar

Zarandi

2015

Proceedings of the Institution of Mechanical Engineers, Part B:

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The importance of integration of process planning and scheduling is evident in today's competitive manufacturing system. Meanwhile, the setup planning plays an important role for integration, because setup planning is done after process planning, just before scheduling. In this article, a new approach for setup planning for multiparts is introduced to realize integration of process planning and scheduling with more details of manufacturing constraints for setup planning. For this purpose, the necessary and unnecessary (preferred) constraints are defined for setup formation and a new matrix is presented to distinguish these and to specify the precedence of operations. The simulated annealing is used in setup planning for N parts simultaneously based on multi-technical and scheduling objectives. The proposed system is based on the machining operation instead of features, to select machine tools more accurately. Another factor for the selection of machine tools is tolerances that are considered in this article and greatly affected the machining cost. An illustrative example is presented to show the effectiveness of the operation-based system and the second example is presented to demonstrate the influence of multipart setup planning versus single-part setup planning. The results show that considering multiparts improves the scheduling objectives such as makespan.

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“…Other intelligent optimization algorithms used for process planning includes honey bees mating algorithm [14], graph-based ant colony algorithm [15] and particle swarm optimization algorithm [16]. Adaptive approaches are also proposed, in which the setup solutions are the optimization results of both processes planning and scheduling [17,18]. The optimization algorithms are also implemented in parallel process planning [1] and nonlinear process planning [19].…”

Section: Introductionmentioning

confidence: 99%

A hybrid optimization approach for setup planning with tolerance constraints

Zeng

Huang

2018

MATEC Web Conf.

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Computer-aided process planning (CAPP) plays an important role in integrated manufacturing system and it can serve as a bridge between CAD and CAM. As a crucial part of CAPP, setup planning is a multi-constraint problem, in which the precision takes priority over efficiency. However, instead of precision constraints, traditional optimization methods have paid much more attention to efficiency requirements. This leads to the reduction in the precision of the final parts. This paper develops an optimization approach for solving computer-aided setup planning problem, which takes into account various constraints, especially the precision requirements specified by designers. First, objective function of the optimization model is formulated and a series of constraints, including feature precedence, tool approaching direction (TAD), and precision requirements are systematically created. Next, the model is solved by using a hybrid particle swarm optimization algorithm. In order to overcome the local optimum trap, mutation and exchange operations are adopted from the genetic algorithm. Finally, a part is tested in the case study and the validation of this method is proved.

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Adaptive setup planning of prismatic parts for machine tools with varying configurations

Cited by 30 publications

References 21 publications

Extracting the manufacturing information of machining features for computer-aided process planning systems

Extracting the manufacturing information of machining features for computer-aided process planning systems

Multipart setup planning through integration of process planning and scheduling

A hybrid optimization approach for setup planning with tolerance constraints

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