Article
Engineering, Mechanical
Mustafa Kuntoglu, Munish Kumar Gupta, Abdullah Aslan, Emin Salur, A. Garcia-Collado
Summary: In this study, CVD coated carbide inserts with different hardness are used for turning AISI 1050 steel, and the effects of cutting speed, feed rate, and tool hardness on machinability characteristics are comprehensively investigated. The results show that tool hardness significantly affects flank wear, surface roughness, and acoustic emissions, with semi-hard tool achieving the best cutting conditions.
SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES
(2022)
Review
Chemistry, Multidisciplinary
Aoha Roohi Amin, Ahsan Ali, Hafiz Muhammad Ali
Summary: This paper explores the application of nanofluids in machining operations. By using different types of nanoparticles and base fluids, nanofluids can enhance lubrication and cooling, improve machining quality and tool life. Nanofluids are more effective than regular lubricants, with hybrid nanofluids being the most efficient.
Article
Engineering, Manufacturing
Chao Liu, Yan He, Yufeng Li, Yulin Wang, Shilong Wang, Yan Wang
Summary: This study develops an analytical model to predict workpiece residual stresses during intermittent machining by considering the effect of surface topography. The analytical model is verified by experiments and shows accurate results.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2022)
Article
Engineering, Manufacturing
Irfan Ullah, Song Zhang, Saad Waqar
Summary: Residual stress significantly affects the performance and stability of machined parts. This study presents a numerical and experimental approach to predict and analyze the residual stress in milled parts made of Ti-6Al-4V alloy, considering the influence of white layer formation.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Engineering, Manufacturing
K. Bobzin, T. Broegelmann, H. J. Maier, T. Heidenblut, C. Kahra, M. Carlet
Summary: During the hard machining of powder metallurgical high-speed steel, tools are exposed to both thermal and mechanical load due to finely dispersed carbides in the steel, which can affect cutting performance and lead to tool damage. Thin hard coatings like TiAlN deposited by physical vapor deposition are commonly used to improve tool performance. High power pulsed magnetron sputtering (HPPMS) offers technical benefits such as more uniform coating thickness distribution on tools compared to direct current magnetron sputtering (dcMS). By adding silicon to the coating system TiAlCrN to create TiAlCrSiN, a nanocomposite coating with improved mechanical properties can be produced. The influence of residual stresses on the mechanical properties and cutting performance of coatings is important, and the study examined the effects of different TiAlCrSiN hybrid coatings with varying substrate bias potentials. A compressive residual stress state between approximately -2 GPa and -3 GPa was found to provide the highest resistance against crack formation and the best cutting performance for the tested coatings.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Materials Science, Multidisciplinary
Rajneesh Raghav, Ankit Kumar, Rahul S. Mulik
Summary: This study compares the CrN and CrTiN hard coatings developed on SiAlON ceramic tool inserts using magnetron sputtering PVD process. Different characterization techniques, such as EDS, XRD, and FESEM, were used to investigate the properties of the coatings. Micro-indentation test was conducted to characterize the hardness and adhesion strength. Turning tests were performed to compare the machining performance of coated and uncoated cutting tools. The findings show that SiAlON cutting inserts coated with CrN and CrTiN exhibit higher hardness and adequate adhesion, with better machining performance for CrTiN-coated inserts.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2023)
Article
Green & Sustainable Science & Technology
M. H. Hoghoughi, M. Farahnakain, S. Elhami
Summary: Different techniques can be employed to improve the sustainability and machinability characteristics of a machining process, with tool textures and solid lubricants being popular methods. Sustainability assessment involves analyzing various factors such as energy consumption, cost, and production rate. Tool textures and solid lubricants have shown improvements in energy consumption, carbon emissions, cost, and production rate, leading to the selection of linear textures in dry conditions as the best sustainable machining operation.
SUSTAINABLE MATERIALS AND TECHNOLOGIES
(2022)
Article
Engineering, Industrial
Yang Xie, Kunlei Lian, Qiong Liu, Chaoyong Zhang, Hongqi Liu
Summary: Recent developments in internet technology, IoT, cloud computing, big data, and AI have significantly advanced manufacturing, with digitalization playing a key role in increasing productivity. The use of digital twin-driven tools and service modes offers modern solutions to meet customer demands, while virtual cutting tool test platforms provide guidance for future intelligent manufacturing. Prospects and challenges in data analysis, fusion, mining, and services are also discussed for further development in the field.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Multidisciplinary Sciences
Guo Li, Wanqiu Lu, Shuchun Huang, Xingyu Zhang, Shuiting Ding
Summary: This study proposes a residual stress analysis and prediction method based on cutting temperature and cutting force, which can effectively predict residual stresses in turning processes. The friction coefficient, tool edge radius, and cutting speed are found to have the greatest influence on residual stresses. The study provides a new perspective for the analysis and prediction of turning residual stress.
Article
Chemistry, Physical
S. Ganeshkumar, Bipin Kumar Singh, S. Dharani Kumar, S. Gokulkumar, Shubham Sharma, Kuwar Mausam, Changhe Li, Yanbin Zhang, Elsayed Mohamed Tag Eldin
Summary: Cutting tool characterization is crucial in understanding machining operations. This research focuses on stress induced in silicon carbide tool inserts and coated tool inserts when machining SS304 steel. The study also formulates a method to predict tool wear due to vibration.
Article
Engineering, Manufacturing
A. L. Pissolatti, A. Magri, A. I. S. Antonialli, A. E. Diniz
Summary: This study investigated four different machining strategies for finish milling of D6 tool steel, and results showed that lower surface roughness was obtained using descending down milling and ascending up milling.
MACHINING SCIENCE AND TECHNOLOGY
(2022)
Article
Automation & Control Systems
Selcuk Yagmur
Summary: Nickel-based super alloys are widely used in aviation and aerospace industries due to their high-temperature resistance, but face machining difficulties. This study found that cooling application positively affects tool life, cutting zone temperature, and surface roughness, with the MQL method showing the best performance.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Review
Materials Science, Multidisciplinary
Moganapriya Chinnasamy, Rajasekar Rathanasamy, Samir Kumar Pal, Sathish Kumar Palaniappan
Summary: Tool life is a crucial parameter in sustainable manufacturing, and extending the life of cutting tools is essential for reducing manufacturing costs. Cryogenic treatment, a sub-zero heat treatment, is an environmentally sustainable alternative that can enhance tool life and improve product quality through microstructure improvements.
INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS
(2022)
Article
Automation & Control Systems
Tarik Zarrouk, Jamal-Eddine Salhi, Mohammed Nouari, Merzouki Salhi, Jalal Kodad
Summary: The manufacture of aluminum honeycomb structures is a major concern for the aerospace industry. The shaping of this type of structure poses technical challenges in terms of cutting tool wear and machined surface quality. Experimental studies are insufficient for understanding chip formation mechanisms at high rotational speeds. Therefore, a robust finite element model was developed to analyze cutting tool behavior and optimize machined surface quality.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Chemistry, Physical
Tarek Elgnemi, Victor Songmene, Jules Kouam, Martin B. G. Jun, Agnes Marie Samuel
Summary: This study investigates the influence of machining conditions on the milling process of CFRPs and determines the optimal cutting parameters for quality parts production while minimizing tool wear and dust emissions. Experimental results show that spindle speed significantly affects cutting temperature and fine particle emission, while feed rate influences cutting force, specific cutting energy, and tool wear.
Review
Computer Science, Artificial Intelligence
Sachin Kumar, T. Gopi, N. Harikeerthana, Munish Kumar Gupta, Vidit Gaur, Grzegorz M. Krolczyk, ChuanSong Wu
Summary: Machine learning algorithms have gained popularity in the manufacturing industry for reducing labor cost and time through digitalization and data availability. Integration of machine learning and optimization techniques enhances product quality, especially in additive manufacturing.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Review
Automation & Control Systems
Sumanth Ratna Kandavalli, Aqib Mashood Khan, Asif Iqbal, Muhammad Jamil, Saqlain Abbas, Rashid Ali Laghari, Quentin Cheok
Summary: Measuring the response of different functional states of machines is essential for smooth production. An efficient measurement and control system helps detect failures. The concept of industry 5.0 has increased the importance of sensors in the industry, aiding the machining process and reducing failures. This paper reviews various sensors and their application in manufacturing processes, discussing advancements in quality measurement, cutting force measurement, and tool wear measurement. It also explores the adoption of IoT in machining processes and the improvement of sensor technology.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Mechanical
A. Gnanavelbabu, E. Vinothkumar, Nimel Sworna Ross, Munish Kumar Gupta, Muhammad Jamil
Summary: This study investigates the corrosion behavior of magnesium alloy reinforced with nano metal oxides using the tribocorrosion methodology. The results show that the addition of TiO2 nanocomposite can improve the hardness and tensile strength of the alloy, and form a thick oxide layer to protect the surface from corrosion and wear. The formation of Mg2TiO3 precipitates in the TiO2 nanocomposite is validated through elemental mapping and surface profile analysis.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Engineering, Mechanical
M. K. Gupta, P. Nieslony, M. E. Korkmaz, G. M. Krolczyk, M. Kuntoglu, P. Pawlus, M. Jamil, M. Sarikaya
Summary: Understanding the process of tool wear is crucial for ensuring workpiece quality during finishing. This study focuses on the potential use of cryogenic cooling to improve tool life and tribological characteristics when machining the AA2024-T351 alloy. Experiments were conducted under dry, minimal quantity lubrication (MQL), liquid nitrogen (LN2), and carbon dioxide (CO2) conditions. The results showed that cryogenic cooling is beneficial for improving tool life and tribological characteristics.
TRIBOLOGY INTERNATIONAL
(2023)
Review
Green & Sustainable Science & Technology
Rashid Ali Laghari, Ning He, Muhammad Jamil, Muhammad Irfan Hussain, Munish Kumar Gupta, Grzegorz M. Krolczyk
Summary: This study provides a review and economic analysis of sustainable machining of metal matrix composites (MMCs), focusing on optimizing machinability factors and evaluating suitable cutting parameters. The findings suggest that different cooling/lubrication technologies can optimize and improve sustainability and machinability characteristics.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2023)
Editorial Material
Chemistry, Multidisciplinary
A. Garcia-Collado, R. Dorado-Vicente, Pablo E. Romero, Munish Kumar Gupta
APPLIED SCIENCES-BASEL
(2023)
Article
Automation & Control Systems
Vinothkumar Sivalingam, Qian Zhou, Ganesh Manickajothi, Nimel Sworna Ross, Jie Sun, Munish Kumar Gupta, Mehmet Erdi Korkmaz, Thangapandian Nagamalai
Summary: Through the investigation of cutting fluid in machining, cryogenic cooling is found to be an efficient method for achieving sustainability and cleaner process, resulting in reduced tool wear and improved surface finish.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Nimel Sworna Ross, Belsam Jeba Ananth Manasea Selvin, Srinivasan Nagarajan, Peter Madindwa Mashinini, Satish Kumar Dharmalingam, Akash Paul Savio, Munish Kumar Gupta, Mehmet Erdi Korkmaz
Summary: This study investigates the influence of different coolant techniques on the machining of as casted aluminium with nano silicon carbide composite. The results show that cryo-CO2 cooling and MQL have a significant improvement on the machining performance.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Chuan Sun, Yuancheng Geng, Adam Glowacz, Maciej Sulowicz, Zhenjun Ma, Patrick Siarry, Munish Kumar Gupta, Z. Li
Summary: This study investigated the impact of a magnetic field on the heat transfer of Fe3O4 ferrofluid swirl flow. The results showed that applying the magnetic field at different locations improved the convective heat transfer coefficient and reduced the absorber tube temperature, but increased the pressure drop over the tube.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2023)
Article
Engineering, Mechanical
Mohd Danish, Munish Kumar Gupta, Alberto Garcia-Collado
Summary: Sustainable manufacturing refers to environmentally friendly and energy-efficient production of both sustainable products and all products. This paper aims to establish an accurate method for measuring the machining responses of gun metal using sustainable cooling strategies. The study found that using cryogenic carbon dioxide in machining can significantly reduce temperature, improve surface quality, and consume less power.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2023)
Article
Multidisciplinary Sciences
Mariusz Pelc, Radana Vilimkova Kahankova, Monika Blaszczyszyn, Dariusz Mikolajewski, Mariusz Konieczny, Volodymir Khoma, Gregor Bara, Jaroslaw Zygarlicki, Radek Martinek, Munish K. Gupta, Edward Jacek Gorzelanczyk, Mateusz Pawlowski, Bogdan Czapiga, Malgorzata Zygarlicka, Aleksandra Kawala-Sterniuk
Summary: This paper introduces an alternative approach to the diagnosis/screening of spine diseases using inertial measurement unit, with policy-based computing as the core for the inference systems. Although applicable to various spine diseases, the focus will be on sagittal imbalance detection.
SCIENTIFIC REPORTS
(2023)
Review
Materials Science, Multidisciplinary
Oleksandr Yevdokymov, Vitalii Kolesnyk, Jozef Peterka, Tomas Vopat, Munish Kumar Gupta, Dmytro Lisovenko, Andrii Dovhopolov
Summary: Nickel superalloys, with Inconel 718 being a well-known example, have a wide range of applications in industries such as aerospace, energy, and automotive. This article discusses the research and improvement of machining conditions for Inconel 718, analyzing tool materials, methods, and coating types used in turning operations. The study also considers finite element method modeling of processing processes and identifies areas for future research.
Article
Green & Sustainable Science & Technology
Hussien Hegab, Ibrahim Shaban, Muhammad Jamil, Navneet Khanna
Summary: The industrial sector's linear model of production and consumption has led to significant environmental degradation, resource depletion, and waste generation. Sustainable production systems have emerged as a solution to promote resource efficiency, waste reduction, and environmental protection. This paper provides a comprehensive guide for the industrial sector to implement sustainable production systems, focusing on strategies, indicators, and obstacles.
SUSTAINABLE MATERIALS AND TECHNOLOGIES
(2023)
Article
Green & Sustainable Science & Technology
M. Jamil, N. He, Z. Wei, M. K. Gupta, A. M. Khan
Summary: The theory of triple bottom line (TBL) expands the traditional measures of corporate success to include their positive impact on society, the environment, and the economy. This study proposes a novel quantifiable approach to estimate energy consumption, carbon emissions, and cost factors in the machining manufacturing of bearing steel. The results show that minimum quantity lubrication (MQL) reduces cutting forces and energy consumption, while MQL-dry ice blasting reduces surface roughness. The proposed hybrid MQL dry ice blasting system is found to be more sustainable. The purpose of this research is to provide a framework for understanding and considering the environmental and financial implications of industrial processes.
SUSTAINABLE MATERIALS AND TECHNOLOGIES
(2023)
Proceedings Paper
Engineering, Multidisciplinary
S. Mukhopadhyay, C. Chen, M. Jamil, J. Standfest, I. Meric, B. Gill, S. Ramey
Summary: In this study, a unified aging model framework is demonstrated for the prediction of transistor aging and circuit aging under various stress conditions. Experimentation with different Ring Oscillators verifies the predictability of the model, providing guidance for process technology development and ensuring high-confidence reliability design for products and IP.
2023 IEEE INTERNATIONAL RELIABILITY PHYSICS SYMPOSIUM, IRPS
(2023)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.