Investigation of chip-back temperature during machining depending on cutting parameters

Korkut, İ̇hsan; Boy, Mehmet; Karacan, İsmail; Şeker, Ulvi

doi:10.1016/j.matdes.2006.07.009

Cited by 61 publications

(35 citation statements)

References 6 publications

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“…However, heat generated during deformation is closely associated with friction and shear force in the tool-chip interface, which vary according to tool geometry and cutting parameters. Tool-chip contact length and therefore tool geometry directly affect tool life and machining efficiency [7].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cutting Parameters, Condition and Geometry in Turning AISI 316L Stainless Steel Using the Grey-Based Taguchi Method

Basmacı

2017

Acta Phys. Pol. A

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In this study, experimental optimization of cutting forces, surface roughness and the hardness of material after turning of AISI 316L stainless steel, using conventional and wiper insert cutting tools under dry, CO2 and MQL cutting conditions, is presented. The influences of feed rate, cutting depth, and cooling system on surface roughness, cutting force and material hardness were examined. In order to optimize the turning process, Grey relational analysis optimization method was used. The optimal machinability parameters of AISI 316L stainless steel with coated carbide insert were successfully determined.

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Section: Introductionmentioning

confidence: 99%

Optimization of Cutting Parameters, Condition and Geometry in Turning AISI 316L Stainless Steel Using the Grey-Based Taguchi Method

Basmacı

2017

Acta Phys. Pol. A

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“…at a distance of 40 µm) [6] or the tool workpiece interface [7], in this paper referred to as cutting temperature, is subjected to thermal analysis. Infrared cameras are frequently used for measurements.…”

Section: Introduction -State Of the Artmentioning

confidence: 99%

Thermographic Study of Chip Temperature in High-Speed Dry Milling Magnesium Alloys

Kuczmaszewski¹,

Zagórski²,

Zgórniak³

2016

Management and Production Engineering Review

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Accepted: 17 May 2016 This paper presents an overview of the state of knowledge on temperature measurement in the cutting area during magnesium alloy milling. Additionally, results of own research on chip temperature measurement during dry milling of magnesium alloys are included. Tested magnesium alloys are frequently used for manufacturing elements applied in the aerospace industry. The impact of technological parameters on the maximum chip temperature during milling is also analysed. This study is relevant due to the risk of chip ignition during the machining process.

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“…Basically, there are two types of thermocouples: embedded thermocouples and dynamic thermocouples [6]. The embedded thermocouple is a relatively cheap method which can be used to establish the distribution of temperature at different points in a cutting tool.…”

Section: Introductionmentioning

confidence: 99%

Application of response surface methodology and fuzzy logic based system for determining metal cutting temperature

Tanikić¹,

Marinković²,

Manić³

et al. 2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The heat produced in metal cutting process has negative influence on the cutting tool and the machined part in many aspects. This paper deals with measurement of cutting temperature during single-point dry machining of the AISI 4140 steel, using an infrared camera. Various combinations of cutting parameters, i.e. cutting speed, feed rate and depth of cut lead to different values of the measured cutting temperature. Analysis of the measured data should explain the trends in temperature changes depending on changes in the cutting regimes. Furthermore, the temperature data is modelled using response surface methodology and fuzzy logic. The models obtained should determine the influence of cutting regimes on cutting temperature. The main objective is the reduction of cutting temperature, i.e. enabling metal cutting process in optimum conditions. Key words: machining, cutting temperature, infrared thermography, response surface methodology, fuzzy logic.Application of response surface methodology and fuzzy logic based system for determining metal cutting temperature Total amount of heat produced in metal cutting process can be calculated as a sum of heat produced by the three mentioned sources:where: Q -total amount of generated heat, Q S 1 -amount of heat generated by heat source S 1 , Q S 2 -amount of heat generated by heat source S 2 , Q S 3 -amount of heat generated by heat source S 3.The heat balance during metal cutting process can be expressed as follows:where: Q 1 -amount of heat carried away in the chips, Q 2 -amount of heat remaining in the cutting tool, Q 3 -amount of heat passing into the work-piece, Q 4 -amount of heat radiated to the surrounding air.

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Investigation of chip-back temperature during machining depending on cutting parameters

Cited by 61 publications

References 6 publications

Optimization of Cutting Parameters, Condition and Geometry in Turning AISI 316L Stainless Steel Using the Grey-Based Taguchi Method

Optimization of Cutting Parameters, Condition and Geometry in Turning AISI 316L Stainless Steel Using the Grey-Based Taguchi Method

Thermographic Study of Chip Temperature in High-Speed Dry Milling Magnesium Alloys

Application of response surface methodology and fuzzy logic based system for determining metal cutting temperature

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