OOIR: Observatory of International Research

Papers

(The TQCC of Machining Science and Technology is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)

Article	Citations
Development of smart manufacturing framework for micromilling of thin-walled Ti6Al4V	48
A review on microholes formation in glass-based substrates by electrochemical discharge drilling for MEMS applications	28
Development of a new in-situ rotating magnetorheological honing technique for fine finishing the inner cylindric surfaces	21
The grindability performance and measurement of surface functional parameter capabilities of difficult-to-machine tool steel under tangential ultrasonic-vibration-assisted dry grinding	20
Review of wire breakage causes and mitigation strategies in wire electrical discharge machining	17
The evaluation of machining performances and recast layer properties of AISI H13 steel processed by tungsten carbide powder mixed EDM process in the semi-finishing process	16
Experimental investigation on the performance of composite electrostatic spraying milling using different inner/outer fluid combinations	15
Machining-induced surface integrity of Inconel 718 alloy fabricated by powder bed fusion additive manufacturing under various laser processing parameters	15
Prediction of the cutting forces in milling operation based on multi-objective optimization of the time series analysis parameters	14
A review of cutting tools for ultra-precision machining	12
Novel insights into conventional machining of metal additive manufactured components: a comprehensive review	12
3D FE modeling and experimental analysis of residual stresses and machining characteristics induced by dry, MQL, and wet turning of AA6061-T6	11
An experimental investigation on the effects of combined application of ultrasonic assisted milling (UAM) and minimum quantity lubrication (MQL) on cutting forces and surface roughness of Ti-6AL-4V	10
Wear mechanisms and cutting performance of coated carbides in milling LPBF IN718 alloy under hybrid cryogenic conditions	10
Combined use of ultrasonic-assisted drilling and minimum quantity lubrication for drilling of NiTi shape memory alloy	10
Prediction of tool-chip contact length based on slip-line modeling of orthogonal cutting with rounded-edge cutting tools	10
Finite element modeling and experimental validation of turning process using bio-mimicked structured tool for outcomes relevant to industry	10
A morphological and textural analysis of Inconel-718 aerospace alloy processed through electrical discharging machining	8
Comparing surface roughness and tool wear when milling convex surface of hardened steel using different milling strategies	7
Experimental study on the effect of tool parameters on the vibrational characteristic of ultrasonic vibration-assisted drilling system	7
The machining of compacted graphite irons – State of the art and future perspective	6
Research on surface roughness detection and prediction of ti-6Al-4v titanium alloy based on multi-feature fusion	6
The performance of grooved turning tools under distinct cooling environments	6
Surface morphology on carbon fiber composites by rotary ultrasonic milling	6
Finite difference numerical modeling and experimental validation of workpiece surface temperature in micro-grinding	6

Experimental investigation on reduction of broaching forces by active external vibrations	5
ANN-based ensemble model for predicting micro-EDM responses and machining variability	5
Mitigation of cutting point deviation by generating provisional corrugations during milling of thin walls	5
Performance monitoring and failure prediction system for wire electric discharge machining process through multiple sensor signals	5
The effect of machining parameters on the surface quality of 3D printed and cast polyamide	5
Multiobjective optimization of end milling parameters for enhanced machining performance on 42CrMo4 using machine learning and NSGA-III	5