An artificial immune system approach to CNC tool path generation

Ülker, Erkan; Turanalp, Mehmet Emin; Halkacı, Hüseyin Selçuk

doi:10.1007/s10845-008-0104-6

Cited by 42 publications

(18 citation statements)

References 19 publications

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“…Agrawal, Pratihar and Choudhury (2006) applied a genetic algorithm to generate tool paths for sculptured surfaces such that equal scallops would be produced. Ulker, Turanalp and Halkaci (2009) implemented an artificial immune algorithm to generate CC points comprising the tool path according the preset error in the case of 3-axis surface machining. Manav, Bank and Lazoglu (2013) established a triple-bounded problem for the sculptured surface machining problem involving mean scallop height, machining time and mean cutting force.…”

Section: Introductionmentioning

confidence: 99%

Globally optimal tool paths for sculptured surfaces with emphasis to machining error and cutting posture smoothness

Fountas

Vaxevanidis

Stergiou

et al. 2018

International Journal of Production Research

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Global optimization for manufacturing problems is mandatory for obtaining versatile benefits to facilitate modern industry. This paper deals with an original approach of globally optimizing tool paths to CNC-machine sculptured surfaces. The approach entails the development of a fully automated manufacturing software interface integrated by a non-conventional genetic/evolutionary algorithm to enable intelligent machining. These attributes have been built using already existing practical machining modelling tools such as CAM systems so as to deliver a truly viable computeraided manufacturing solution. Since global optimization is heavily based in the formulation of the problem, emphasis has been given to the definition of optimization criteria as crucial elements for representing performance. The criteria involve the machining error as a combined effect of chord error and scallop height, the tool path smoothness and productivity. Experiments have been designed considering several benchmark sculptured surfaces as well as tool path parameters to validate the aforementioned criteria. The new approach was implemented to another sculptured surface which has been extensively tested by previous research works. Results were compared to those available in the literature and it was found that the proposed approach can indeed constitute a promising and trustworthy technique for the global optimization of sculptured surface CNC tool paths.

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Section: Introductionmentioning

confidence: 99%

Globally optimal tool paths for sculptured surfaces with emphasis to machining error and cutting posture smoothness

Fountas

Vaxevanidis

Stergiou

et al. 2018

International Journal of Production Research

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show abstract

“…Kersting and Zabel in [10] employed a multi-population, genetic algorithm to provide optimum solutions to 5-axis milling optimization problems. Ulker et al in [11] implemented an artificial immune system to control tool path planning for sculptured surfaces with less cutter location points and reduced machining time. Zeroudi et al in [12] implemented an intelligent system to obtain optimum tool paths in terms of cutting forces directly from CAM environment.…”

Section: Introductionmentioning

confidence: 99%

A virus-evolutionary multi-objective intelligent tool path optimization methodology for 5-axis sculptured surface CNC machining

Fountas

Vaxevanidis

Stergiou

et al. 2016

Engineering with Computers

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Sculptured surface machining is a material removal operation essentially adopted to manufacture complex products. Computing optimal tool paths with reference to ideally designed CAD models is indispensable to be able to suggest machining improvements in terms of high quality and productivity. The present paper proposes a new methodology based on a virus-evolutionary genetic algorithm for enhancing sculptured surface tool path planning through an automated selection of values for standard 5-axis end milling strategies' machining parameters to be decided upon in the context of a simulation-based; software-integrated, multi-objective optimization problem. The problem involves surface machining error as the first quality objective represented via the mean value of chordal deviations that tool path interpolation yields and effective radius of inclined tools that affects scallop. Machining time is the second quality objective entering the problem to assess productivity; whereas the number of cutter location points created for each tool path evaluation is also considered. Tool type, tool axis inclination angles as well as longitudinal and transversal steps are considered as the independent parameters in the case of 5-axis machining. Results obtained by conducting evaluation experiments and simulation tests accompanied by an actual machining process provided significant insight concerning the methodology's efficiency and ability of suggesting practically viable results.

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“…Another work is presented by Zhao, Zhu, and Ding (2013), where it was developed a PC-based B-spline trajectory interpolator with continuous curvature; simulations and experimentation were presented. NURBS interpolators have been implemented in PC from Lin (2009), Peng andYin (2008), Tsai, Nien, and Yau (2008), and Ulker, Turanalp, and Halkaci (2009). Also, there are several DSP developments for parametric interpolators and CNC controllers, being B-splines (Erkorkmaz & Altintas, 2001) and NURBS interpolators (Cheng & Tsai, 2004;Tsai, Cheng, & Cheng, 2003) the main reported techniques.…”

Section: Introductionmentioning

confidence: 99%

FPGA-based hardware CNC interpolator of Bezier, splines, B-splines and NURBS curves for industrial applications

Santiago-Perez¹,

Osornio-Ríos²,

Romero-Troncoso³

et al. 2013

Computers & Industrial Engineering

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An artificial immune system approach to CNC tool path generation

Cited by 42 publications

References 19 publications

Globally optimal tool paths for sculptured surfaces with emphasis to machining error and cutting posture smoothness

Globally optimal tool paths for sculptured surfaces with emphasis to machining error and cutting posture smoothness

A virus-evolutionary multi-objective intelligent tool path optimization methodology for 5-axis sculptured surface CNC machining

FPGA-based hardware CNC interpolator of Bezier, splines, B-splines and NURBS curves for industrial applications

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