Article
Materials Science, Multidisciplinary
Reza Abedinzadeh, Ehsan Norouzi, Davood Toghraie
Summary: The research focuses on the laser-assisted machining of aluminum based hybrid nanocomposites, investigating the effects of process parameters on surface roughness, cutting force and temperature. It was found that cutting speed and depth of cut have significant impacts on surface roughness and cutting force, respectively, with optimal cutting conditions identified at specific laser power, cutting speed, and cutting depth.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2021)
Article
Crystallography
Arabinda Meher, Manas Mohan Mahapatra, Priyaranjan Samal, Pandu Ranga Vundavilli, Karthik Venkitraman Shankar
Summary: The current study focuses on the mathematical modeling of the machinability of an in-situ synthesized RZ5-8 wt.% TiB2 composite using Taguchi design and analysis of variance (ANOVA). The study reveals that the most influential parameter in machining the composite is the feed rate, followed by the depth of cut and cutting speed. Regression equations are established using ANOVA to estimate the cutting force and surface roughness under different parametric conditions. The regression model is validated and shows a maximum deviation of +/- 10%. The effects of machining parameters on the composite's machinability are analyzed using main effects plots and response surface plots. Chip morphology and tool wear are also analyzed under different machining conditions using FESEM.
Article
Engineering, Multidisciplinary
Honghong Gao, Baoji Ma, Yuanpeng Zhu, Heng Yang
Summary: Longitudinal ultrasonic vibration-assisted milling (LUVAM) is used to improve the machinability and surface quality of titanium alloys Ti-6Al-4V under dry conditions. Increasing ultrasonic amplitude reduces cutting forces, cutting temperature, and surface roughness, leading to improved machinability and surface quality of Ti-6Al-4V.
Article
Materials Science, Multidisciplinary
Ping Zhang, Junling Liu, Yeran Gao, Zehua Liu, Qingqun Mai
Summary: This study investigates the effect of heat treatment process on the micro machinability of 7075 aluminum alloy. Different heat treatment processes are found to have varying effects on the cutting force, surface roughness, surface quality, and residual stress of the alloy. Changes in cutting parameters also influence the machining performance of the alloy differently under different heat treatment processes.
Article
Engineering, Manufacturing
Ali Pasa Hekimoglu, Senol Bayraktar
Summary: This study investigates the effects of adding strontium (Sr) and magnesium (Mg) elements to Al-9Si alloy on its structural, mechanical, and machinability properties. Different alloys were examined and their properties were determined using various methods. The results indicate that the addition of Sr and Mg can significantly influence the hardness, tensile strength, elongation to fracture, cutting force, and surface roughness of the alloys.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2022)
Article
Engineering, Multidisciplinary
Sunil Dutta, Suresh Kumar Reddy Narala
Summary: Magnesium alloys are widely used in engineering sectors for their lightweight, stiffness, and damping properties. However, machining these alloys poses challenges due to their mechanical properties and inflammability. In this study, a newly developed Aluminum-Manganese (AM) series Mg alloy was subjected to turning operation, with control factors including feed, speed, and depth of cut. Statistical analysis revealed that depth of cut has the greatest impact on cutting force, while feed has the greatest influence on surface roughness.
Article
Engineering, Mechanical
Sehmus Baday, Onur Ersoz
Summary: This study focuses on the machinability of AISI 1050 workpieces with cutting inserts under deep cryogenic heat, showing that cryo-treated inserts perform better than untreated inserts in terms of tool wear, vibration, and cutting force. Optimization of cutting parameters can significantly impact surface roughness and cutting force, which can be achieved through Taguchi mixed design and Response Surface Methodology.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2022)
Article
Engineering, Mechanical
Amanda Oliveira Mello, Robson Bruno Dutra Pereira, Carlos Henrique Lauro, Lincoln Cardoso Brandao, J. Paulo Davim
Summary: Titanium and its alloys are crucial in industries like aerospace, automotive, and biomedical sectors due to their reliability, functionality, high strength-to-weight ratio, and corrosion resistance. An analysis of cutting forces and surface roughness of different titanium alloys revealed similar machinability values between Ti-6Al-4V and Ti-6Al-7Nb, with uncoated inserts yielding the best results in terms of surface roughness and cutting force when used with both alloys.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Asit Kumar Parida, Kalipada Maity
Summary: The study showed that hot turning resulted in increased tool life and material removal rate, as well as reduced cutting forces, specific cutting energy, and power consumption compared to room temperature conditions.
Article
Computer Science, Artificial Intelligence
Nesrine Amor, Muhammad Tayyab Noman, Michal Petru, Neethu Sebastian, Deepak Balram
Summary: This study investigates the effect of a newly developed metaheuristic algorithm on the machinability and surface roughness of nano zinc oxide embedded glass fiber reinforced polymer composites. The hybrid Grey-WSO algorithm combines grey theory and white shark optimizer to find the optimal responses. The results demonstrate the potential of the developed algorithm in machining composite materials and highlight the significant influence of nanoparticle amount on surface roughness calculations.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Automation & Control Systems
Moran Xu, Shuo Chen, Rendi Kurniawan, Changping Li, Rong Wei, Hanwei Teng, Thirumalai Kumaran, Pil Wan Han, Tae Jo Ko
Summary: A new machining method, cryogenic-ultrasonic vibration-assisted milling (CUVAM), was proposed to improve the workability of Inconel 718. The study compared the effects of conventional machining (CM), cryogenic cooling machining (CCM), and CUVAM on cutting force, chip, tool life, workpiece surface morphology, and surface integrity. The results showed that cryogenic assistance could improve the machining environment and coefficient of friction, while ultrasonic vibration assistance in CUVAM suppressed the increase in cutting force. Compared to CM, CUVAM reduced cutting force by 36.5% and had a beneficial impact on tool life. The surface roughness after CUVAM was also significantly reduced compared to CCM.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Rupinder Singh, Munish Kumar Gupta, Murat Sarikaya, Mozammel Mia, A. Garcia-Collado
Summary: The combination of textured tools and minimum quantity lubrication has significantly enhanced machining and sustainability performance, particularly in improving air quality.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Materials Science, Ceramics
Reza Abedinzadeh, Ehsan Norouzi, Davood Toghraie
Summary: This study investigated the laser-assisted machining (LAM) of aluminum nanocomposite reinforced with SiC-Al2O3 nanoparticles using the turning process. The factors of laser power, depth of cut, and cutting speed were optimized using the Taguchi method to achieve the smallest surface roughness and cutting force. Results showed that the depth of cut had the greatest influence on cutting force in LAM and conventional machining (CM) processes, while cutting speed and feed rate had the major effect on surface roughness in LAM and CM processes, respectively. LAM exhibited a 26% reduction in cutting force and a 51% decrease in surface roughness compared to CM process under optimal conditions.
CERAMICS INTERNATIONAL
(2022)
Article
Engineering, Mechanical
Abdullah Altin
Summary: This research focused on studying the sensitivity of cobalt-based superalloy Haynes 188 machining with ceramic cutting tools. By varying parameters such as cutting speed, the optimal cutting conditions were determined and different types of cutting tools showed varied performance in machining.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Amin Bagherzadeh, Emel Kuram, Erhan Budak
Summary: Cutting fluids have positive effects on machinability performance, but also cause environmental and health problems. To address this, the machining industry has developed alternative green machining solutions such as minimum quantity of lubrication, vegetable based cutting fluids, cryogenics, and hybrid cooling. Results suggest that hybrid cooling methods offer an efficient solution to improve process sustainability towards cleaner production.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Manufacturing
J. D. Kechagias, N. Vidakis, M. Petousis
Summary: This research investigates the effects of two independent 3D printing parameters, Layer Height (LH) and Nozzle Temperature (NT), on the Mechanical Response (MR) of FFF 3D printed TPU parts. The results indicate that LH and NT have significant effects on the MR values, and the optimal combination of parameters is determined.
MATERIALS AND MANUFACTURING PROCESSES
(2023)
Article
Engineering, Manufacturing
N. Vidakis, J. D. Kechagias, M. Petousis, F. Vakouftsi, N. Mountakis
Summary: This study investigates the impact of six printing parameters on energy metrics in 3D-printing technologies and establishes statistical models to describe the effects. The physical mechanism is further explained through mechanical strength evaluation. The study proposes a methodology for efficient and sustainable 3D printing.
MATERIALS AND MANUFACTURING PROCESSES
(2023)
Article
Engineering, Manufacturing
J. D. Kechagias, N. Vidakis, M. Petousis, N. Mountakis
Summary: This study investigates the effects of six control parameters on the mechanical properties of 3D printed PLA parts. The experimental results show that the raster deposition angle, nozzle temperature, printing speed, and infill density have significant impacts on the mechanical response of 3D printed PLA parts.
MATERIALS AND MANUFACTURING PROCESSES
(2023)
Article
Automation & Control Systems
Nectarios Vidakis, Markos Petousis, Nikolaos Mountakis, John D. D. Kechagias
Summary: This study investigates the weldability of Polyamide 6 (PA6) plates, produced by 3D printing using material extrusion (MEX), with Friction Stir Welding (FSW). The feasibility of joining 3D printed PA6 with FSW was confirmed through experimental optimization and analysis. The results of this study provide valuable insights and advantages for welding processes in various industrial applications.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
John D. D. Kechagias, Nectarios Vidakis, Konstantinos Ninikas, Markos Petousis, Nikolaos M. M. Vaxevanidis
Summary: This study investigates the interaction between material design, 3D printing, and laser post-processing to improve the performance of printable nanocomposite materials. PLA/CB nanocomposites were prepared and processed using a low-cost CO2 laser to improve the quality of the samples through optimization and evaluation of laser cutting parameters.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Manufacturing
Markos Petousis, Konstantinos Ninikas, Nectarios Vidakis, Nikos Mountakis, John D. Kechagias
Summary: By controlling the 3D printing parameters and implementing post-processing techniques, the performance of parts fabricated using material extrusion (MEX) 3D printing can be improved, allowing for their application in various fields such as biomedical, aeronautics, automotive, and printing electronics. The use of laser as a post-processing technology significantly enhances the efficiency of PLA/CNT nanocomposites.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Engineering, Manufacturing
John D. Kechagias, Stephanos P. Zaoutsos
Summary: The use of 3D printing technology in medical applications, particularly in dental implants and prosthetics, has been extensively explored. This study focuses on optimizing a 3D printed dental implant using the fused filament fabrication (FFF) technology by adjusting the infill rate, platform temperature, and printing temperature. The effects of these parameters on surface roughness, printing time, shape quality, and surface hardness are evaluated. Additionally, a comparison is made between FFF technology and Poly Jet photopolymerization in terms of layer thickness for dental implants. Challenges and future directions in FFF 3D printing optimization for dental implants are also briefly discussed.
MATERIALS AND MANUFACTURING PROCESSES
(2023)
Article
Engineering, Manufacturing
John Kechagias, Dimitrios Chaidas
Summary: Sustainability in 3D printing involves considering energy consumption, societal impacts, as well as quality metrics such as time, quality, and flexibility during the early stages of product ideation. This study analyzes the sustainability of low-cost 3D printed parts and promotes best practices to eliminate material costs and waste. Choosing the right parameters for model preparation is crucial for producing sustainable final products, and user experience with failed prints enhances the ability to make better sustainability judgments.
MATERIALS AND MANUFACTURING PROCESSES
(2023)
Article
Engineering, Electrical & Electronic
Konstantina D. Karantza, Ioannis G. Papantoniou, Stavros S. A. Lykakos, Dimitrios E. Manolakos
Summary: The study investigates the crashworthiness behavior of thin-walled circular steel tubes under axial and oblique crushing. Parametric analysis shows that increasing crushing angle leads to decreased energy absorption and peak force. Low-angled oblique loading is found to be the most efficient impact condition, achieving sufficient energy absorption and facilitating plastic collapse initiation. Additionally, higher wall thickness results in greater peak force and increased critical angle, preventing unstable deformation mode and providing smoother decrease of energy absorption with respect to loading angle.
Article
Engineering, Manufacturing
John D. Kechagias, Nikolaos A. Fountas, Konstantinos Ninikas, Nikolaos M. Vaxevanidis
Summary: This work experimentally investigates and optimizes the mean kerf angle (A) and mean surface roughness (Ra) in laser cutting fused filament fabrication (FFF) 3D-printed polylactic acid (PLA) plates using laser feed (F) and power (P) as control parameters. Regression equations and an artificial neural network (NN) were used to predict the responses, and an intelligent algorithm was adopted for optimization.
JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Nikolaos A. Fountas, John D. Kechagias, Nikolaos M. Vaxevanidis
Summary: This work utilizes a virus evolutionary genetic algorithm to conduct multi-objective optimization for three experimental cases in laser sintering/melting operation. The first case aims at maximizing the density of Ti6Al4V specimens as a single-objective optimization problem, while the second case focuses on maximizing both the hardness and tensile strength of Ti6Al4V samples as a two-objective optimization problem. The third case aims at minimizing the mean surface roughness while maximizing the density and hardness of laser-melted L316 stainless steel powder as a three-objective optimization problem.
Article
Engineering, Manufacturing
John D. Kechagias
Summary: This work presents good practices of incorporating experimental design in stochastic problems, specifically in the context of 3D printing. The optimization of processing parameters using Taguchi orthogonal array and analysis of variances has resulted in improved quality performance of 3D printed parts. The study finds that the one-run Taguchi design can be used as a cost and time-efficient alternative to the two-repetition case.
MATERIALS AND MANUFACTURING PROCESSES
(2023)
Article
Engineering, Manufacturing
John D. Kechagias, Stephanos P. Zaoutsos
Summary: This study aims to investigate the effects of material flow and temperature on the surface texture and compression strength of thermoplastic filament material extrusion. The results show that material flow and layer height are critical variables affecting surface roughness and compression strength. By using additive models and neural networks for prediction, the proposed methodology demonstrates reasonable accuracy in multi-parameter multi-objective optimization 3D printing cases.
PROGRESS IN ADDITIVE MANUFACTURING
(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.
