Modelling and Simulation of Surface Roughness in Face Milling

Šimunović, Goran; Šimunović, Katica; Šarić, Tomislav

doi:10.2507/ijsimm12(3)1.219

Cited by 39 publications

(33 citation statements)

References 22 publications

(26 reference statements)

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“…simulation and visual control of chip size [19], as well as for the modelling and simulation of steel surface roughness [20]. The results of NN application are compared by the authors [19,20] with the results of analytical models. Next to the single methods, the multi-method approaches of soft computing are also used, e.g.…”

Section: Introductionmentioning

confidence: 99%

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Use of soft computing technique for modelling and prediction of CNC grinding process

et al. 2016

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Original scientific paper Due to the complexity of grinding process of multilayer ceramics, and the need for a specific product quality, the choice of optimal technological parameters is a challenging task for the manufacturers. The main aim of investigation is to secure the demanded final product quality (plane parallelism) in the function of input parameters (machine, machine operator, foil and production line). "Soft computing techniques" are becoming more interesting to the researchers for the modelling of processing parameters of complex technological processes. In this paper, a soft computing technique, known as the Artificial Neural Networks (ANN), is used for the modelling and prediction of parameters of technological process of CNC grinding of multilayer ceramics. The results show that the ANN with the back-propagation algorithm justifies the application also to this problem. By designing different architectures of ANN (learning rules, transfer functions, number and structure of hidden layers and other) on the set of data from the productiontechnological process, the best result of RMS error (10,76 %) in the process of learning and 12,07 % in the process of validation was achieved. The achieved results confirm the acceptability and the application of this investigation in the technological and operational preparation of production. Keywords: grinding, neural networks, prediction, soft computing Uporaba tehnike mekog računalstva za modeliranje i predviđanje postupka CNC brušenjaIzvorni znanstveni rad Zbog složenosti procesa brušenja višeslojne keramike te osiguranja zahtijevane kvalitete proizvoda, odabir optimalnih tehnoloških parametara je izazovan zadatak za proizvođače. Osigurati traženu izlaznu kvalitetu proizvoda (paralelnost površina) u funkciji ulaznih parametara (stroj, operater stroja, folija i proizvodna linija) predstavlja glavni cilj istraživanja. "Tehnike mekog računalstva" dobivaju pozornost istraživača za modeliranje procesnih parametara složenih tehnoloških procesa. U ovom radu koristi se tehnika mekog računalstva poznata kao umjetne neuronske mreže (ANN) za modeliranje i predviđanje parametara tehnološkog procesa CNC brušenja višeslojne keramike. Rezultati su pokazali da ANN s algoritmom širenja unazad potvrđuje primjenu i na ovaj problem. Oblikovanjem različitih arhitektura ANN (pravila učenja, prijenosne funkcije, broj i strukture skrivenih slojeva i drugi) na setu podataka iz proizvodno -tehnološkog procesa ostvaren je najbolji rezultat RMS greške od 10,76 % u procesu učenja i 12,07 % u procesu validacije. Ostvareni rezultati potvrđuju prihvatljivost i primjenu ovog istraživanja u tehnološkoj i operativnoj pripremi proizvodnje.

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Section: Introductionmentioning

confidence: 99%

“…The NN are used for assessing the roughness of machined surfaces [18], i.e. simulation and visual control of chip size [19], as well as for the modelling and simulation of steel surface roughness [20]. The results of NN application are compared by the authors [19,20] with the results of analytical models.…”

Section: Introductionmentioning

confidence: 99%

Use of soft computing technique for modelling and prediction of CNC grinding process

et al. 2016

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“…The product quality [1,2], enhancement of employee, community, environmental and product safety is of crucial importance. The key methods of improving the environmental safety of manufacturing processes is a reduction of pollutants generated during processing, such as for instance cooling/lubrication fluids.…”

Section: Introductionmentioning

confidence: 99%

Research on emulsion mist generation in the conditions of minimum quantity cooling lubrication (MQCL)

et al. 2015

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Original scientific paper The paper presents the effect of emulsion mist generation parameters and the distance of the nozzle from the contact zone of the cutting wedge with the workpiece on the diameter and number of droplets supplied into the cutting zone. The conditions of emulsion mist generation, in which all the droplets supplied to the cutting zone in a given time, are evaporated in this time. An analysis of heat flow in the MQCL method was presented and it was proved that the air flow and the distance of the nozzle from the cutting zone have the most significant effect on the diameter of droplets. Keywords: droplets flow; heat flow; Minimal Quantity Cooling-Lubrication (MQCL) Istraživanje stvaranja emulzijske izmaglice u uvjetima rashladnog podmazivanja s minimalnom količinom (MQCL)Izvorni znanstveni članak U radu se opisuje učinak parametara stvaranja emulzijske izmaglice i udaljenosti mlaznice od kontaktne površine reznog klina s obratkom na promjer i broj kapljica dospjelih u zonu rezanja. Dati su uvjeti stvaranja emulzijske izmaglice u kojoj su sve kapljice, dovedene u zonu rezanja u datom vremenu, u to vrijeme isparile. Opisana je analiza protoka topline u MQCL metodi i dokazano je da protok zraka i udaljenost mlaznice od zone rezanja imaju najvažniji učinak na promjer kapljica.

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“…The methods of measurements of straight cylindrical gears and bevel gears, as well as the ways of assessment of machining accuracy on CNC machines are described by [14]. The increasing need to improve the service properties of machine parts, including gear teeth, necessitates constant development of machining technologies aiming at reduction of surface roughness and at controlling the properties of the top layer depending on the application [15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

New Method of Machining Teeth on Unspecialised Machine Tools

2018

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Abstract:In the present work, the authors describe elaborated method of machining teeth with the use of unspecialized machine tools. In the first part of the work the need to develop such a method has been shown and the drawbacks of the known methods have been indicated. Further part of the work describes the process of mathematical modelling the purpose of which was to determine the tool paths during machining. Next, the kinetics of teeth machining with the use of a universal CNC milling centre is presented. Further on, the operation of the algorithm, the user's interface of the elaborated software and the parameters influencing the machining process have been shown. In the final part of the work, the results of examination of the obtained details have been shown on a gear wheel as an example. The origin of machining errors and their significance has been discussed. In conclusions, summary of obtained results is presented. In last paragraphs, authors discuss machining accuracy of developed method, and application possibilities of described method are emphasised as well. Performed verification proved that developed method is capable of machining gears of quality comparable with these machined with specialised equipment.

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Modelling and Simulation of Surface Roughness in Face Milling

Cited by 39 publications

References 22 publications

Use of soft computing technique for modelling and prediction of CNC grinding process

Use of soft computing technique for modelling and prediction of CNC grinding process

Research on emulsion mist generation in the conditions of minimum quantity cooling lubrication (MQCL)

New Method of Machining Teeth on Unspecialised Machine Tools

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