Wear Analysis of ZTA-MgO Ceramic Cutting Inserts on Stainless Steel 316L Machining

Ali, Afifah Mohd; Azhar, Ahmad Zahirani Ahmad; Ratnam, Mani Maran; Ahmad, Zainal Arifin

doi:10.4028/www.scientific.net/amr.1087.101

Cited by 10 publications

(3 citation statements)

References 7 publications

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Section: Evaluation Of the Wear Of The Cutting Tool On The Relief Surfacesupporting

confidence: 92%

“…This detachment occurred, fundamentally, in a small area where the first contact of the cutting tool with the specimen occurred. This corresponds to that reported by other studies of Mohd-Ali et al [28], Mohd-Ali et al [29], and Ahmad-Azhar et al [30]. Figure 6a,b shows the wear of the cutting tool on the incidence surface for the cutting speed of 200 m/min and feed speed of 0.2 mm/rev for the dry machining and MQL, respectively.…”

Section: Evaluation Of the Wear Of The Cutting Tool On The Relief Surfacesupporting

confidence: 87%

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Optimization of the Cutting Regime in the Turning of the AISI 316L Steel for Biomedical Purposes Based on the Initial Progression of Tool Wear

Risco-Alfonso

Pérez‐Rodríguez

Zambrano‐Robledo

et al. 2021

Metals

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The development of biomedical devices has improved the quality of life for millions of people. The increase in life expectancy generates an increase in the demand for these devices. One of the most used materials for these purposes is 316 L austenitic stainless steel due to its mechanical properties and good biocompatibility. The objective of the present investigation was to identify the dependence between the main cutting force, the initial speed of the tool wear, the surface roughness, and the parameters of the cutting regime. Based on these dependencies, a multi-objective optimization model is proposed to minimize the energy consumed and initial wear rate, as well as to maximize productivity, maintaining the surface roughness values below those established by the ISO 5832-1 standard. The wear of the cutting tool was measured on a scanning electron microscope. For the optimization process, a genetic algorithm based on NSGA-II (Non-nominated Sorting Genetic Algorithm) was implemented. The input variables were the cutting speed and the feed in three levels. The cutting force and surface roughness were set as restrictions. It is concluded that the mathematical model allows for the optimization of the cutting regime during dry turning and with the use of MQL (Minimum Quantity Lubrication) with BIDEMICS JX1 ceramic tools (NTK Cutting Tools, Wixom, MI, USA), of AISI 316 L steel for biomedical purposes. Pareto sets and boundaries allow for choosing the most appropriate solution according to the specific conditions of the workshop where it is applied, minimizing the initial progression of tool wear and energy consumed, and maximizing productivity by guaranteeing the surface roughness values established for these types of parts according to the standard.

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Section: Evaluation Of the Wear Of The Cutting Tool On The Relief Surfacesupporting

confidence: 92%

Section: Evaluation Of the Wear Of The Cutting Tool On The Relief Surfacesupporting

confidence: 87%

Optimization of the Cutting Regime in the Turning of the AISI 316L Steel for Biomedical Purposes Based on the Initial Progression of Tool Wear

Risco-Alfonso

Pérez‐Rodríguez

Zambrano‐Robledo

et al. 2021

Metals

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“…6 (a) and (b) show SEM images of tool chipping on ZMM and ZMN cutting tools respectively at cutting speed of 473 m/min and feed rate of 0.5 mm/rev. The feed rate may increase the tool chipping due to the high load on the tool nose [6]. Moreover, ZMN shows that the tool breakage occurred severely than ZMM cutting tool.…”

Section: Flank Wearmentioning

confidence: 99%

Comparative Study on the Performance of ZTA Cutting Tool with the Addition of Different Particle Size of MgO Additive

Mudzaffar

Khairy

Zaki

et al. 2020

MSF

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This paper investigated the performance of ZTA cutting tool with the addition of different particle size of MgO additive. Therefore, the objective of this research is to compare the effects of machining parameters on tool wears of ZTA cutting tools added with micro and nanoparticle of MgO. The experiments were conducted using BridgePort-Romi Powerpath CNC machine using a tool holder Sandvik Coromant (CoroTurn CCLNR 164D-4) to hold the cutting tools properly. The parameters are set up as cutting speeds used between range 354 to 472 m/min, feed rate from 0.1 to 0.5 mm/rev with a constant depth of cut of 0.2 mm. Three types of wear were analyzed which are flank wear, crater wear and tool chipping. Flank wear and crater wear images captured using measuring microscope (NIKON MM-400/L) and the crater wear areas are analyzed using MatLab programming software. Tool chipping is observed via SEM (JEOL JSM-5600). The experimental result shows that flank wear and crater wear increase when cutting speed and feed rate increase. ZMN cutting tool shows lower value of flank wear at 0.143 mm and 3.741 mm2 for crater wear than ZMM, 0.321 mm and 3.808 mm2 respectively. On the contrary, cutting speed did not affect the tool chipping severely as feed rate. Moreover, ZMN also shows that the tool breakage occurred severely than ZMM due to the high load on the tool nose.

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Development of Zirconia Toughend Nanocomposites Using the Technique of Spark Plasma Sintering: Role of Reinforcement

Meena¹,

Mozammil

Srivatsan

2022

The Minerals, Metals &Amp; Materials Series

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Wear Analysis of ZTA-MgO Ceramic Cutting Inserts on Stainless Steel 316L Machining

Cited by 10 publications

References 7 publications

Optimization of the Cutting Regime in the Turning of the AISI 316L Steel for Biomedical Purposes Based on the Initial Progression of Tool Wear

Optimization of the Cutting Regime in the Turning of the AISI 316L Steel for Biomedical Purposes Based on the Initial Progression of Tool Wear

Comparative Study on the Performance of ZTA Cutting Tool with the Addition of Different Particle Size of MgO Additive

Development of Zirconia Toughend Nanocomposites Using the Technique of Spark Plasma Sintering: Role of Reinforcement

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