Optimization and Modeling of Process Parameters in Multi-Hole Simultaneous Drilling Using Taguchi Method and Fuzzy Logic Approach

Aamir, Muhammad; Tu, Shanshan; Tolouei‐Rad, Majid; Giasin, Khaled; Vafadar, Ana

doi:10.3390/ma13030680

Cited by 70 publications

(52 citation statements)

References 34 publications

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“…Experimental studies performed in references [31,40] have shown that tools used for multi-spindle drilling give less formation of built-up edges as compared to the single drilling process of aluminum alloy Al5083 due to differences in chip size when uncoated High-Speed Steel (HSS) drills with a point angle of 118° and size of 6 mm were used. The experiments were conducted using a conventional milling machine for both single drilling and multi-spindle drilling processes, and the same drilling parameters and conditions were applied.…”

Section: Cutting Tool and Spindle Adjustment In Multi-spindle Drillinmentioning

confidence: 99%

Analysis of the Performance of Drilling Operations for Improving Productivity

Tolouei‐Rad¹,

Aamir²

2021

Drilling Technology

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Drilling is a vital machining process for many industries. Automotive and aerospace industries are among those industries which produce millions of holes where productivity, quality, and precision of drilled holes plays a vital role in their success. Therefore, a proper selection of machine tools and equipment, cutting tools and parameters is detrimental in achieving the required dimensional accuracy and surface roughness. This subsequently helps industries achieving success and improving the service life of their products. This chapter provides an introduction to the drilling process in manufacturing industries which helps improve the quality and productivity of drilling operations on metallic materials. It explains the advantages of using multi-spindle heads to improve the productivity and quality of drilled holes. An analysis of the holes produced by a multi-spindle head on aluminum alloys Al2024, Al6061, and Al5083 is presented in comparison to traditional single shot drilling. Also the effects of using uncoated carbide and high speed steel tools for producing high-quality holes in the formation of built-up edges and burrs are investigated and discussed.

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Section: Cutting Tool and Spindle Adjustment In Multi-spindle Drillinmentioning

confidence: 99%

Analysis of the Performance of Drilling Operations for Improving Productivity

Tolouei‐Rad¹,

Aamir²

2021

Drilling Technology

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“…where 'T' represent temperature, 'S' and 'FR' are cutting speed and feed rate, respectively. a, m, and b represent the triangular membership function and details can be found elsewhere [8].…”

Section: Fuzzy Membership Functionsmentioning

confidence: 99%

“…Literature reveals the use of fuzzy logic modeling to validate the machining performance and behavior. Aamir et al used fuzzy logic approach to predict hole size and surface roughness in multi-hole drilling [8]. Ramesh et al used fuzzy inference system to predict and validate the machining performance of titanium alloy, i.e., surface roughness, cutting pressure, and tool wear [9].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic-Based Prediction of Drilling-Induced Temperatures at Varying Cutting Conditions along with Analysis of Chips Morphology and Burrs Formation

Riaz

Muhammad

Ullah

et al. 2021

Metals

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Friction and plastic deformation at the tool–chips interaction during a dry drilling process results in temperature rise and promotes tool wear and surface roughness. In most of the components produced in industries, a drilling process is used to make a hole for final assembly. Therefore, knowledge of temperatures produced during drilling operation at various machining input parameters is required for the best quality product. A fuzzy logic-based algorithm is developed to predict the temperature generated in the drilling process of AISI 1018 mild steel. The algorithm used speed and feed rate of the drill bit as input parameters to the fuzzy domain. A set of rules was used in the fuzzy domain to predict maximum temperature produced in the drilling process. The developed algorithm is simulated for various input speed and feed rate parameters and was verified through the maximum temperature measured during drilling of the studied material at selected speed–feed combinations. Experiments were conducted to validate the results of developed fuzzy logic-based algorithm by using non-contact infrared pyrometer for drilling of AISI 1018 steel. A good agreement between the predicted and experimentally measured maximum temperature was observed with an error less than 6%. It is found that temperature increases with increase in cutting speed and feed rate. Size of roll back burr formation at the hole perimeter significantly increases with increase in drill speed and feed rate. Segmental continuity in spiral or helix chips morphology is more at low feed and high cutting speed. Chip radius increases with increase in feed rate and results in damaging of the machined surface and causes burr formation while the radius decreases with cutting speed along with improved hole surface finish.

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“…The con dence interval determines how precise the estimated statistics are, whereby a 95% con dence interval denotes a 5% chance of having an incorrect estimation [30,31]. The percentage contribution assesses the effect of each input parameter on the output, where for P-values estimated at more than 0.05 or 5%, is considered insigni cant [32].…”

Section: Analysis Of Variancementioning

confidence: 99%

Impacts of traverse speed and material thickness in abrasive waterjet contour cutting of Austenitic stainless steel AISI 304L

Llanto

Tolouei‐Rad

Vafadar

et al. 2021

Preprint

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Austenitic stainless steel 304L (AISI304L), of varied thickness, is widely used in the fabrication industry and in many cases, it requires contour machining for achieving intricate profiles. Abrasive water jet machine is a proficient alternative for machining difficult-to-cut, reflective, conductive, and heat-sensitive materials such as austenitic stainless steel with complex geometries. However, due to differences in machining responses for varied material conditions, the abrasive waterjet machine experiences challenges such as kerf geometric inaccuracy and low material removal rate. In this study, an abrasive waterjet machine is employed to perform contour cutting of different profiles to investigate the impacts of traverse speed and material thickness in achieving a lower kerf taper angle and higher material removal rate. Experimental results show that all profiles encountered a similar trend of obtaining higher kerf taper angle and material removal rate as traverse speed increased. Analysis of variance revealed that material thickness denotes a more significant impact to kerf taper angle and material removal rate with a contribution within the range of 69%-91% and 62-69% respectively; whereas traverse speed indicates the least contributing factor within the range of 5%-18% in kerf taper angle and 27%-36% for material removal rate.

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Optimization and Modeling of Process Parameters in Multi-Hole Simultaneous Drilling Using Taguchi Method and Fuzzy Logic Approach

Cited by 70 publications

References 34 publications

Analysis of the Performance of Drilling Operations for Improving Productivity

Analysis of the Performance of Drilling Operations for Improving Productivity

Fuzzy Logic-Based Prediction of Drilling-Induced Temperatures at Varying Cutting Conditions along with Analysis of Chips Morphology and Burrs Formation

Impacts of traverse speed and material thickness in abrasive waterjet contour cutting of Austenitic stainless steel AISI 304L

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