Effect of high speed turning operation on surface roughness of hybrid metal matrix (Al-SiCp-fly ash) composite

Baburaj, E.G.; Sundaram, Kanthimathinathan Meenakshi; Senthil, P.

doi:10.1007/s12206-015-1210-y

Cited by 29 publications

(13 citation statements)

References 15 publications

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“…After the mathematical modelling of the results yielded by Eq. 7, for a sufficient number of cases, the minimum value of the depth of cut in the first rough pass ( d1 rt min ) was determined, thus obtaining (Dm ∈ [20,200] și cab ∈ [1,5]):…”

Section: Discussionmentioning

confidence: 99%

“…In the case of high-speed turning [8], another type of input-output relation is presented, having the inputs being speed, feed rate, depth of cut, cutting time and coolant pressure, and the outputs being the tangential cutting force, feed force, spindle motor power consumption, machined surface roughness and different types of wears (average flank wear, maximum flank wear and nose wear). Baburaj et al [1], using Taguchi nonlinear regression analysis and a genetic algorithm, developed a mathematical model for high-speed turning of the following form: Surface Roughness (Ra) = F (cutting speed, feed rate, depth of cut, nose radius). Prasat et al [25] present the regression equations for CNC turning of composite materials from aluminium alloys that calculate: Material removal Rate (MRR) & Surface Roughness (SR) = F (Composition, depth of cut, feed, speed).…”

Section: Literature Reviewmentioning

confidence: 99%

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A new method for establishing the depths of cut for cast iron parts turning

Ivan

Gavrus

Oancea

2018

J Braz. Soc. Mech. Sci. Eng.

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It is well known that determining the machining parameters is an important issue of process planning. Machining parameters have a significant influence on the cost and productivity of different machining processes. Among these parameters, special attention comes to the depth of cut. In this respect, the present paper proposes a new method for establishing the depths of cut related to technological sequences-roughing, semi-finishing and finishing-such as to gradually eliminate the errors that occur during surface machining in order to ensure the required accuracy. Hence, depths of cut that are greater than necessary are avoided, thus facilitating certain economic advantages. The operating mechanism underlying the discussed method is based on analysing the roughness of the surface to be machined. Materialization of the method based on the CAPP components is a software tool conceived in Delphi environment and consists of two modules: one for determining the technological sequences and the other one for determining the depths of cut required by the technological sequences. The method also allows the determination of the billet dimensions and of the related tolerances of the analysed surfaces. The software tool includes a database built upon a set of mathematical models for appraising the flaws to be eliminated by removal of the material layer. The paper addresses the turning of cast iron parts and provides a solution for multi-pass turning as well as a case study for exemplification purposes. Keywords Cast iron parts machining • Depth of cut • Machined surface roughness • Cutting sequences • Software tool Abbreviations a(3,15), name(3) Matrices of the database cab Billet casting process accuracy grade Df Clamping surface diameter (mm) Dm Maximum part dimension (mm) Dn cib , fin cib

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A new method for establishing the depths of cut for cast iron parts turning

Ivan

Gavrus

Oancea

2018

J Braz. Soc. Mech. Sci. Eng.

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“…The widely adopted method for producing low-cost composites enhance the use of inexpensive materials such as industrial and agro-wastes as secondary reinforcements. 7 The hybrid metal-matrix composites are the current research interest due to their favorable properties: high specific strength, toughness, impact strength, low sensitivity to temperature changes, etc. Usually, MMCs are fabricated through any of the following techniques: solid-state processing (powder metallurgy), liquid-state processing (stir casting, squeeze casting, compo casting) and infiltration technique.…”

Section: Introductionmentioning

confidence: 99%

Optimization of machining parameters in turning of hybrid aluminium-matrix (LM24–SiCp–coconut shell ash) composite

Arulraj¹,

Ponnusamy²,

Venkatesh³

2019

Mater. Tehnol.

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In any machining process, the vital part is determination of the optimum values for the process parameters to attain the highest desired quality at a low machining cost. This paper mainly focuses on the surface-roughness optimization in the turning of a hybrid aluminium-matrix (LM24-SiCp-coconut shell ash) composite through the Taguchi method and a genetic algorithm. All composite samples for the study were prepared under the optimal squeeze-casting conditions and experimental trials were selected based on the L9 (3) 4 orthogonal array. The main response considered in this study related to the surface roughness, and machining parameters such as the cutting speed, feed rate, depth of cut and tool-nose radius were taken into consideration. The surface roughness was tested on the composites turned with a high-speed CNC lathe machine. From the experimental data, a regression model of the surface roughness was developed. The optimum machining conditions were obtained through the Taguchi method and a genetic algorithm and checked through confirmation experiments. In this study, it was concluded that the genetic algorithm used for determining the optimum machining conditions showed better results than the experimental outcome based on the orthogonal array and the optimum conditions obtained with the Taguchi method. Keywords: LM24 aluminium alloy, silicon carbide particles, coconut shell ash, surface roughness, Taguchi method, genetic algorithm V katerem koli postopku mehanske obdelave je klju~nega pomena dolo~itev optimalnih procesnih parametrov, ki omogo~ajo najvi{jo zahtevano kakovost obdelave pri najmanj{ih stro{kih. Avtorji so se v glavnem osredoto~ili na optimizacijo parametrov stru`enja, ki dolo~ajo povr{insko hrapavost hibridnega kompozita (LM24-SiCp-pepel kokosovih lupin) z Al matrico. Za to so uporabili Taguchijevo metodo in genetski algoritem. Vsi vzorci za pri~ujo~o {tudijo so bili izdelani s postopkom visoko tla~nega litja v testastem stanju (angl.: squeeze casting) pri optimalnih parametri~nih pogojih. Eksperimentalni preizkusi so temeljili na izbrani L9 (3) 4 ortogonalni matrici. Glavni vplivni parametri povr{inske hrapavosti, obravnavani v tej {tudiji, so bili: hitrost rezanja, hitrost podajanja, globina reza in polmer konice plo{~ice rezilnega orodja. Povr{insko hrapavost kompozitnih vzorcev so preverjali z merilnikom Mitutoyo SJ-210 po zelo hitrem stru`enju na ra~unalni{ko vodeni (CNC) stru`nici. Na osnovi eksperimentalnih podatkov so razvili regresijski model za povr{insko hrapavost. Optimalne pogoje mehanske obdelave so dosegli s pomo~jo Taguchijeve metode in genetskega algoritma in jih preverili s pomo~jo eksperimentalnih postopkov. Avtorji zakljuujejo, da optimalni pogoji mehanske obdelave, dolo~eni z genetskim algoritmom, dajejo bolj{e rezultate kot eksperimentalni rezultati, ki temeljijo na optimalnih pogojih, dolo~enih s Taguchijevo metodo za izbrano ortogonalno matrico. Klju~ne besede: Al zlitina LM24, silicij karbidni delci, pepel kokosovih lupin, povr{inska hrapavost, Taguchijeva metoda, genet...

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“…The optimum machining conditions for minimum surface roughness through Taguchi's technique and genetic algorithm was determined and verified the results with confirmation experiments [12]. The influence of turning parameters on surface roughness of aluminium, silicon carbide and fly ash composite was studied by Baburaj on 2016 [13]. Stir casting process parameters for the preparation of Al6061 alloy with reinforcements like SiC, graphite, alumina are studied by Rajesh Kumar on 2013 [14].…”

Section: Introduction mentioning

confidence: 99%

Effect of Stir Casting Process Parameters on Properties of Aluminium Composites – Taguchi’s Analysis

Ariharaputhiran¹,

Venkadasamy²

2019

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The need for lightweight materials in various industries, increased fuel price, requirement of improved mechanical, thermal properties leads to the development of aluminium metal matrix composites. Stir casting method is employed for preparing composite consisting of aluminium die casting -12 alloy and reinforcement of 10 % by weight proportion of silicon carbide. Taguchi’s experimental analysis is employed for varying the process parameters of stir casting method like process temperature, stirring time and stirring speed. Tests were conducted to measure mechanical property like compressive strength, wear property such as sliding wear, micro abrasion and thermal property like coefficient of thermal expansion. An attempt has been made to study the unrelated properties like compressive strength, sliding wear resistance, micro abrasion wear and coefficient of thermal expansion of aluminium composites by Principal Component Analysis method. The experimental investigation shows that increase in processing temperature reduces sliding wear, micro abrasion wear and coefficient of thermal expansion and also increases compressive strength.

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Effect of high speed turning operation on surface roughness of hybrid metal matrix (Al-SiCp-fly ash) composite

Cited by 29 publications

References 15 publications

A new method for establishing the depths of cut for cast iron parts turning

A new method for establishing the depths of cut for cast iron parts turning

Optimization of machining parameters in turning of hybrid aluminium-matrix (LM24–SiCp–coconut shell ash) composite

Effect of Stir Casting Process Parameters on Properties of Aluminium Composites – Taguchi’s Analysis

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