JournalTOCs

International Journal of Machining and Machinability of Materials
Journal Prestige (SJR): 0.408

Citation Impact (citeScore): 1
Number of Followers: 5

Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1748-5711 - ISSN (Online) 1748-572X
Published by Inderscience Publishers

[439 journals]

Machinability study, machining performance optimisation and sustainability
assessment in laser micro-drilling of CNT/epoxy nanocomposite
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  Authors: Lipsamayee Mishra, Trupti Ranjan Mahapatra, Debadutta Mishra, Soumya Ranjan Parimanik
  Pages: 111 - 139
  Abstract: Precision drilling of carbon nanotube (CNT)-based polymer matrix composite (PMC) is a demanding operation owing to their promising application. Laser beam machining is possibly a viable alternative to overcome the delamination, burr development, fibre pull-out, and poor surface quality problems associated with traditional drilling processes. The effectiveness of the Nd:YAG laser machining system on CNT/epoxy-based PMC is investigated in this article. The planned research aims to determine the best process parameter settings for obtaining the minimum taper and minimum heat affected zone for quality holes. The experimental investigation is performed utilising a Box-Behnken design-based response surface methodology (BRSM) and the influence of numerous input parameters (pulse frequency, cutting speed, lamp current, and air pressure) have been discussed by various surface plots and contour plots. The whale optimisation algorithm (WOA) is implemented to optimise the process parameters. Finally, confirmation tests are conducted to compare the experimental and optimal findings produced using the proposed methodology. The confirmation results prove that the WOA algorithm can be used for optimising the machining parameters with utmost supremacy. The sustainability assessment indicated that the projected process improves worker safety, creates a pleasant working environment, and improves product quality with an increased production rate.
  Keywords: CNT polymer composite; laser micro-drilling; taper; heat-influenced zone; HAZ; Box-Behnken design-based response surface methodology; BRSM; whale optimisation algorithm; WOA; sustainability
  Citation: International Journal of Machining and Machinability of Materials, Vol. 25, No. 2 (2023) pp. 111 - 139
  PubDate: 2023-09-14T23:20:50-05:00
  DOI: 10.1504/IJMMM.2023.133377
  Issue No: Vol. 25, No. 2 (2023)
High-speed machining of Inconel 718: cutting parameters optimisation using
RSM-GA approach
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  Authors: A.K.M. Nurul Amin, A.N.M. Amanullah Tomal, Kazi Sami Al-Jabir, Nusrat Jahan, Washima Zaman
  Pages: 140 - 156
  Abstract: This research aims at finding suitable combination of cutting parameters for high-speed machining (HSM) of Inconel 718 - a nickel-based super alloy to achieve minimum surface roughness and tool wear. Later, the findings are evaluated implying the desirability criteria of response surface methodology (RSM) and the optimisation approach of genetic algorithm (GA). It is observed that a combination of cutting speed (80-137 m/min) and feed rate (0.005-0.150 mm/tooth) yields the minimum achievable range of surface roughness and tool wear. Analysing with RSM yields average surface roughness value of 0.191 μm and tool wear 0.008 mm, whereas GA predicted these values as 0.12 μm and 0.003 mm, respectively. Later, based on the scanning electron microscope (SEM) image of the surface texture, it was concluded that high-speed produces a better surface finish and the variation in feed rate had no discernible impact on surface roughness.
  Keywords: surface roughness; tool wear; high-speed machining; HSM; response surface methodology; RSM; genetic algorithm; GA; scanning electron microscope; SEM; Inconel 718
  Citation: International Journal of Machining and Machinability of Materials, Vol. 25, No. 2 (2023) pp. 140 - 156
  PubDate: 2023-09-14T23:20:50-05:00
  DOI: 10.1504/IJMMM.2023.133380
  Issue No: Vol. 25, No. 2 (2023)
Minimisation of specific cutting energy consumption in the turning of Al
6063 alloy through optimisation by TOPSIS approach
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  Authors: A. Kannan, N.M. Sivaram
  Pages: 157 - 169
  Abstract: Parametric optimisation of the turning process parameters was carried out for Al 6063 alloy machined with tungsten carbide uncoated inserts using the TOPSIS approach. All experiments were performed in line with Taguchi L<SUB align="right">27 orthogonal array. Two machining characteristics namely specific cutting energy (SCE) and surface roughness were measured during the turning experiments. The optimum parameter combination was obtained for minimising SCE. By comparing the initial parameter settings with the optimum parameters, SCE consumed decreased by 84.53%. Meanwhile, an increase in surface roughness was noticed by 40.33% using a multi-response index (MRI). From the mean response value of MRI, it was found that the critical turning parameter that influences output performance is cutting speed, followed by feed rate and depth of cut. The SCE of Al 6063 alloy at the optimal parameter is 0.71 J/mm<SUP align="right">3</SUP>.
  Keywords: sustainable machining; specific cutting energy; SCE; Al 6063 alloy; optimisation; TOPSIS; multi-response index; MRI
  Citation: International Journal of Machining and Machinability of Materials, Vol. 25, No. 2 (2023) pp. 157 - 169
  PubDate: 2023-09-14T23:20:50-05:00
  DOI: 10.1504/IJMMM.2023.133382
  Issue No: Vol. 25, No. 2 (2023)
Machining zinc-aluminium alloy reinforced with SiCp composites and
determination of machinability properties using commercial cutting tools
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  Authors: A. Kannan, N.M. Sivaram
  Pages: 170 - 189
  Abstract: This paper highlights the cutting force variation during the turning trials on zinc aluminium alloy impregnated by silicon carbide particles-based composites. The necessary composite specimen with the prescribed composition is fabricated following the conventional stir-casting technique. Three different ranges of composites are fabricated containing SiC volume fractions 5%, 10% and 15%. The fabricated composite specimen is subjected to a dry turning process by employing uncoated (SNMG 090308) and coated tungsten carbide tools (SNMG 090308) under a specified set of machining variables. During each experimental machining trial, the cutting force acting on the cutting tool is measured. The impact of machining variables and composite composition on cutting force development is analysed and results are recorded. By observing the overall results of the experiment, it is observed that increased depth of cut, feed, size of the reinforcement particle and quantity of reinforcement presence in the composite cause increase in the force on the tool, on the contrary decline in the cutting force upon increasing cutting speed is observed. Coated carbide tools posed lower cutting force values in comparison with uncoated carbide tools during experimentation.
  Keywords: metal composites; zinc-aluminium; SiC; carbide tools; coatings; cutting force
  Citation: International Journal of Machining and Machinability of Materials, Vol. 25, No. 2 (2023) pp. 170 - 189
  PubDate: 2023-09-14T23:20:50-05:00
  DOI: 10.1504/IJMMM.2023.133384
  Issue No: Vol. 25, No. 2 (2023)
CuO nanoparticle size effect on Inconel-718 turning with nanofluid
minimum quantity lubrication
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  Authors: Pravin Ashok Mane, Anupama N. Kallol, Rajendra L. Doiphode, Avinash N. Khadtare
  Pages: 190 - 208
  Abstract: This study examined effect of nanofluid minimum quantity lubrication (NF-MQL) with CuO nanoparticles on Inconel 718 machinability. During turning process tribological properties (surface roughness and tool wear) and chip morphology were analysed. Minimum quantity lubrication (MQL) setup was used during turning process. L18 orthogonal array was used to conduct experimental trial. Nanoparticle size, flow rate, weight % and cutting speed used to analyse tribological properties along with chip morphology. Experimental results shows that cutting speed, particles size and flow rate are significant variable for a surface roughness and tool wear. Abrasive and chipping off wear mechanism was observed. For surface roughness 78.54 m/min cutting speed, 23 nm particle size, 0.3 wt. percentage and 160 ml/hr flow rate are the optimum conditions whereas for tool wear 78.54 m/min cutting speed, 8 nm particle size, 0.2 wt. percentage and 120 ml/hr flow rate are the optimum conditions.
  Keywords: Inconel-718; CuO; nanoparticles; roughness; wear; chip; morphology; NF-MQL
  Citation: International Journal of Machining and Machinability of Materials, Vol. 25, No. 2 (2023) pp. 190 - 208
  PubDate: 2023-09-14T23:20:50-05:00
  DOI: 10.1504/IJMMM.2023.133386
  Issue No: Vol. 25, No. 2 (2023)