The Possibility of Applying Acoustic Emission and Dynamometric Methods for Monitoring the Turning Process

Dudzik, Krzysztof; Labuda, Wojciech

doi:10.3390/ma13132926

Cited by 10 publications

(6 citation statements)

References 30 publications

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“…There are terms used in technology such as: "process monitoring", e.g. using acoustic emission [2][3][4] and "trouble diagnosis" [5] in relation to changes occurring in time (variable over time) during objects machining. In such an approach, the diagnosis process can be indicated as diagnosing a condition of the process.…”

Section: Introductionmentioning

confidence: 99%

Selected aspects of diagnosing material removal machining processes state

et al. 2021

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The article presents the results of works on the analysis of the possibility of using force measurements to determine the state of the machining process, both in relation to the phenomena occurring during machining and the workpiece itself compared to acoustic emission signal (AE). The research and analyzes were carried out for the commonly used material removal processes of objects; turning, milling, grinding and drilling. Various materials were processed - metal alloy Hardox 400 as well as fiber composite materials (GFRP - Glass Fiber Reinforced Polymer) and polymer construction material RenShape® BM5035 with various structures. As a result of the conducted analyzes, it was determined that the forces generated in the machine tool-holder-workpiece-tool layout can constitute a good diagnostic signal, on the basis of which it is possible to conclude about the state of the process.

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Section: Introductionmentioning

confidence: 99%

Selected aspects of diagnosing material removal machining processes state

et al. 2021

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“…Dinde and Dhende 19 investigated the turning of super duplex stainless steel and obtained the optimal combination of parameters for the cutting speed of 120 m/min and back cutting depth of 2.0 mm. Dudzik and Labuda 20 set a cutting depth of 2.0 mm in the turning process. Tekıner and Yeşılyurt 21 studied the turning of austenitic stainless steel with feed rate ranging from 0.2 to 0.3 mm/r and found the feed rate of 0.25 mm/r had the best results.…”

Section: Methodsmentioning

confidence: 99%

Wear performance of indexable coated inserts cutting 0Cr17Ni4Cu4Nb stainless steel

Han

Liu

Feng

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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Due to the poor processability of 0Cr17Ni4Cu4Nb stainless steel, the inserts are quickly worn down during the cutting process, affecting both the machining accuracy and surface quality of the machined part. In this study, the wear performance of four different types of coated inserts, TiCN+Al2O3, TiAlN, multilayer Ti composite, and TiCN+Al2O3+TiN, were investigated on the external turning of 0Cr17Ni4Cu4Nb stainless steel. The effects of different coatings on insert durability were analyzed from the perspective of wear profile, flank wear, and chip morphology. The wear of the inserts was mainly resulted from abrasive wear, diffusion wear, and adhesive wear. The flank wear ranking from the lowest to the highest for four coated inserts was TiAlN coating, TiCN+Al2O3 coating, TiCN+Al2O3+TiN coating, and multilayer Ti composite coating. The TiAlN coating deposited by physical vapor deposition exhibited excellent high-temperature oxidation resistance and stability, indicating its suitability for the turning of 0Cr17Ni4Cu4Nb stainless steel component. This study provides not only an important guidance for choosing inserts with different coating materials to improve wear performance, but also a good reference on the optimal design of indexable coated inserts for different materials.

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“…According to results, they observed that the wiper cubic boron nitride insert significantly reduced TW. Dudzik et al [ 137 ], during the turning process on 304L stainless steel, observed by comparing the AE signals and CFs to predict TW, that both main variables are important in predicting TW. Twardowski et al observed the TW of 100Cr6 steel with the turning process in their study.…”

Section: Indirect Tool Condition Monitoring Systemsmentioning

confidence: 99%

A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends

Kuntoğlu

Aslan

Pimenov

et al. 2020

Sensors

190

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The complex structure of turning aggravates obtaining the desired results in terms of tool wear and surface roughness. The existence of high temperature and pressure make difficult to reach and observe the cutting area. In-direct tool condition, monitoring systems provide tracking the condition of cutting tool via several released or converted energy types, namely, heat, acoustic emission, vibration, cutting forces and motor current. Tool wear inevitably progresses during metal cutting and has a relationship with these energy types. Indirect tool condition monitoring systems use sensors situated around the cutting area to state the wear condition of the cutting tool without intervention to cutting zone. In this study, sensors mostly used in indirect tool condition monitoring systems and their correlations between tool wear are reviewed to summarize the literature survey in this field for the last two decades. The reviews about tool condition monitoring systems in turning are very limited, and relationship between measured variables such as tool wear and vibration require a detailed analysis. In this work, the main aim is to discuss the effect of sensorial data on tool wear by considering previous published papers. As a computer aided electronic and mechanical support system, tool condition monitoring paves the way for machining industry and the future and development of Industry 4.0.

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The Possibility of Applying Acoustic Emission and Dynamometric Methods for Monitoring the Turning Process

Cited by 10 publications

References 30 publications

Selected aspects of diagnosing material removal machining processes state

Selected aspects of diagnosing material removal machining processes state

Wear performance of indexable coated inserts cutting 0Cr17Ni4Cu4Nb stainless steel

A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends

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