A non-contact method for part-based process performance monitoring in end milling operations

Fekrmandi, Hadi; Ünal, Muhammet; Baghalian, Amin; Tashakori, Shervin; Oyola, Kathleen; Alsenawi, Abdullah; Tansel, İbrahim N.

doi:10.1007/s00170-015-7523-2

Cited by 16 publications

(7 citation statements)

References 18 publications

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“…Recently, a significant increase in the number of studies on new or modified materials can be observed [6][7][8], which should then be further processed -in this area, due to the previously unrecognized behaviourism of the shaping process, the processes of their formation should be diagnosed. Among the many existing machining processes, works related to determining the state of the process (diagnosis) are particularly often described for: turning [9][10][11][12][13][14][15][16][17], milling [18][19][20][21][22], grinding [23][24] and drilling [25]. On the basis of the literature review, the physical phenomena that are most often used as the source of diagnostic signals were distinguished.…”

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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“…Contact based signals were also studied under the effect of lubrication in the past [ 23 , 24 , 25 ]. Recently, researchers showed the possibility of the trend modeling between acoustic emissions and the wear in terms of accumulated signal energy and changes in spectrum amplitude [ 9 , 25 , 26 , 27 , 28 , 29 ]. However, most of these efforts used a single pin/point contact sensor and analyzed the spectrum of noise with different speed, sliding distance, and temperature values.…”

Section: Introductionmentioning

confidence: 99%

Predictive Modeling of Surface Wear in Mechanical Contacts under Lubricated and Non-Lubricated Conditions

Rahman

Khan

Mushtaq

2021

Sensors

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The surface wear in mechanical contacts under running conditions is always a challenge to quantify. However, the inevitable relationship between the airborne noise and the surface wear can be used to predict the latter with good accuracy. In this paper, a predictive model has been derived to quantify surface wear by using airborne noise signals collected at a microphone. The noise was generated from a pin on disc setup on different dry and lubricated conditions. The collected signals were analyzed, and spectral features estimated from the measurements and regression models implemented in order to achieve an average wear prediction accuracy of within 1mm3.

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“…Spectrum analyzers, simple data acquisition systems, and DSPs may be used for data collection and analysis. Applications of the SuRE method include the detection of defects on plates, finding loose bolts on robotic devices, and estimation of load distribution on plate surfaces (Fekrmandi et al, 2015;Fekrmandi et al, 2014Fekrmandi et al, , 2016Shervin Tashakori et al, 2016 The purpose of this research is to demonstrate a non-contact SHM strategy for pipes with minimum dependency on the selection of proper excitation modes and frequencies. To achieve this, the SuRE method is applied in a non-contact mode using a scanning laser vibrometer.…”

Section: Introductionmentioning

confidence: 99%

Non-Contact Quantification of Longitudinal and Circumferential Defects in Pipes using the Surface Response to Excitation (SuRE) Method

Baghalian

Tashakori

Senyurek

et al. 2020

IJPHM

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Rapid screening and monitoring of hollow cylindrical structures using active guided-waves based structural health monitoring (SHM) techniques are important in chemical, petro-chemical, oil and gas industries. Successful implementation of the majority of these techniques in the SHM of pipes depends on the identification of the appropriate guided-waves modes and their frequencies for each application. The highly dispersive nature of the guided-waves and presence of multi modes at each frequency makes the mode selection and the interpretation of signals a challenging task. The surface response to excitation (SuRE) method was developed to detect the defects and loading condition changes on plates with minimum dependence on the excitation of particular modes at certain frequencies. In the present study, the SuRE method is proposed for quantification of longitudinal and circumferential defects, with varying severities, as common examples of axisymmetric and nonaxisymmetric defects in pipes. The results indicate that the SuRE method can be used effectively for damage quantification in hollow cylinders.

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A non-contact method for part-based process performance monitoring in end milling operations

Cited by 16 publications

References 18 publications

Selected aspects of diagnosing material removal machining processes state

Selected aspects of diagnosing material removal machining processes state

Predictive Modeling of Surface Wear in Mechanical Contacts under Lubricated and Non-Lubricated Conditions

Non-Contact Quantification of Longitudinal and Circumferential Defects in Pipes using the Surface Response to Excitation (SuRE) Method

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