Computer-aided selection of optimum machining parameters in multipass turning

Mesquita, R. M. D.; Krasteva, Evdokia B.; Doytchinov, Stefan

doi:10.1007/bf01184274

Cited by 38 publications

(16 citation statements)

References 7 publications

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“…Early work on optimization of multi-pass machining operations shows the economic benefits of machining [28]. Most recent research demon- strates the use of advanced computer-aided methodologies and intelligent techniques for multi-pass machining optimization [29][30][31][32]. However, the most needed performance-based optimization methods were lacking in these works, despite the use of advanced tools and techniques for optimization.…”

Section: Traditional Methods For Machining Optimizationmentioning

confidence: 97%

Development of hybrid predictive models and optimization techniques for machining operations

Jawahir

Wang

2007

Journal of Materials Processing Technology

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Section: Traditional Methods For Machining Optimizationmentioning

confidence: 97%

Development of hybrid predictive models and optimization techniques for machining operations

Jawahir

Wang

2007

Journal of Materials Processing Technology

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“…For multi-pass turning operations, Mesquita et al [14,15] proposed an approach involving the simultaneous constrained optimisation of speed, feed and depth of cut. The optimisation criteria are the minimum cost, minimum time and minimum number of passes.…”

Section: Cutting Parameters Optimisation Modelsmentioning

confidence: 99%

Towards the integration of process and production planning: an optimisation model for cutting parameters

Henriques¹

2005

Int J Adv Manuf Technol

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This paper aims to contribute to process and production planning integration through the development of a new cutting parameters optimisation model. The developed model considers simultaneously the technology-related constraints and a shop floor constraint determined by the available time at each workstation. The latter, being a constraint related to the part machining time, is associated with the set of all elementary machining operations and implies the development of a new multioperation optimisation model. In this approach, part machining time is a new variable for shop floor scheduling. Since the limiting factor of workstation available time at every scheduling date depends on the shop floor status, optimum part machining time can range from the time for minimum cost to the time for maximum production rate. The introduction of the available time in the optimisation process allows for the generation of improved schedules according to several performance measures. The proposed optimisation model is non-linear, uni-criterion and multi-variable. The search of the optimal solution is carried out using sequential quadratic programming.

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“…The authors developed a prototype of an integrated CAD/CAPP/CAM system . Some process planning functions were completely automated, such as feature recognition and identification of machining operations (Nunes, 1994), tool selection and cutting parameters optimisation (Mesquita, 1995). The work presented in this paper is an extension of this system aiming the integration of process planning and tool management.…”

Section: Integration Of Design Process Planning and Part Programmingmentioning

confidence: 99%

Architecture of an Integrated Process Planning and Tool Management System

Mesquita

Henriques²,

Ferreira³

et al. 1996

IFIP Advances in Information and Communication Technology

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This paper describes the architecture of an integrated system for process planning and tool management, as part of a wider platform comprising all the manufacturing functions. It results from the development of a generative process planning system and a methodology for workplanning and manufacturing resources set-up in a simultaneous engineering environment, using commercial available applications and specially designed interface modules.The work developed at INETI, 1ST and lTEC, contributes to the integration of product, process and production planning and aims the increase of productivity, flexibility and consistency of manufacturing processes through the use of information technologies.The integration of both, a generative and a variant CAPP (Computer Aided Process Planning) system, with a tool management system and a tool pre-setting machine was partially achieved and is presented in this paper. The integrated system is suitable for typical machining job-shops of SME's characterised by small or medium batch production.

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Computer-aided selection of optimum machining parameters in multipass turning

Cited by 38 publications

References 7 publications

Development of hybrid predictive models and optimization techniques for machining operations

Development of hybrid predictive models and optimization techniques for machining operations

Towards the integration of process and production planning: an optimisation model for cutting parameters

Architecture of an Integrated Process Planning and Tool Management System

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