Article
Chemistry, Physical
Lukasz Bohdal, Leon Kukielka, Radoslaw Patyk, Katarzyna Koska, Jaroslaw Chodor, Konrad Czyzewski
Summary: This work focuses on the wear mechanisms of punches in the nibbling process. It includes analytical, numerical, and experimental studies. The results show that changing the punch rounding radius can significantly affect fatigue wear and the quality of the product. Additionally, the use of a special coating can enhance the wear resistance and service life of the punching tool.
Review
Computer Science, Interdisciplinary Applications
Melvin Alexis Lara de Leon, Jakub Kolarik, Radek Byrtus, Jiri Koziorek, Petr Zmij, Radek Martinek
Summary: This article reviews and analyzes the approaches utilized for monitoring cutting tool conditions, focusing on the use of Machine Learning and statistical processes. It quantifies the typical signals used by researchers and scientists, such as vibration, cutting force, and temperature, to determine tool degradation and product quality. The article also presents statistical techniques used to cleanse collected data and extract relevant information for prediction and classification purposes.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Engineering, Manufacturing
Suhas S. Aralikatti, Hemantha Kumar
Summary: The study proposes the use of a Magnetorheological (MR) fluid damper to suppress tool vibration in hard tuning. The damper can be easily installed without structural modification and regulates variable cutting conditions by changing its damping coefficient with the magnetic field. Comparison between in-house prepared MR fluid and commercial MR fluid shows their equal performance. The MR damper effectively reduces high-amplitude vibration and improves surface roughness and tool wear.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Engineering, Multidisciplinary
Jay Airao, Hreetabh Kishore, Chandrakant K. Nirala
Summary: Parts produced using additive manufacturing (AM) exhibit significant differences in surface quality, residual stresses, and microhardness compared to conventionally wrought parts. Therefore, post-processing is necessary to remove undesirable features and improve their suitability for applications. In this study, micro turning of selective laser melted (SLM) Ti6Al4V was conducted to evaluate the surface characteristics, tool wear, and chip morphology. The results showed that SLM Ti6Al4V had higher tool wear and surface roughness due to its higher strength and hardness compared to wrought Ti6Al4V. The main tool wear mechanisms observed for both materials were built-up edge formation, adhesion, abrasion, and edge chipping.
Article
Engineering, Aerospace
Dehua Li, Yingguang Li, Changqing Liu
Summary: The condition of cutting tools directly affects machining quality and efficiency. This paper proposes a method for predicting the remaining useful life of cutting tools in variable cutting conditions based on the Gaussian process regression model and tool wear mechanism. By constraining the predicted values at adjacent moments to a linear relationship using the covariance matrix of the Gaussian model, it can model the wear process under continuous changing conditions. Furthermore, the prediction accuracy is improved by enhancing the input feature space and the model's output.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Article
Engineering, Mechanical
Haichuan Chang, Pietro Borghesani, Zhongxiao Peng
Summary: The study characterized macropits on gear moulds and sampled wear particles using optical microscopy, revealing that the concentration of wear particles had a similar trend to pitted area growth, yet with a delay. This behavior was also reflected in four non-dimensional numerical features characterizing the geometry of particles and pits.
Article
Engineering, Mechanical
Xing Zhang, Yang Gao, Zhuocheng Guo, Wei Zhang, Jia Yin, Wanhua Zhao
Summary: A physical model-based tool wear and breakage monitoring method is proposed in this paper. The comprehensive feature is extracted from the seven-channel specific cutting force coefficients (SCFCs) through the measurements of milling force, spindle box vibration and driving current for tool wear monitoring. An efficient tool breakage monitoring method is also put forward. The verification results indicate that the proposed method can accurately estimate the cutting status of the tool and provide a research basis for the potential industrial application of tool wear and breakage monitoring technology.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Suman Saha, Sankha Deb, Partha Pratim Bandyopadhyay
Summary: This study investigates the correlation between changes in edge features and reduction in outer diameter to more accurately calculate tool wear in micro-milling. Analytical expressions for different wear scenarios are derived and validated through sustainable MQL-assisted micro-milling. The diameter reduction is established as a reliable variable for drawing tool life curves.
Review
Chemistry, Physical
Pawel Pawlus, Rafal Reizer, Wieslaw Zelasko
Summary: Two-process random textures have better functional properties than one-process surfaces, but there is limited knowledge about their measurement, modeling, and behavior. These surfaces are highly sensitive to measurement errors and difficult to model. This paper presents the measurement, characterization, and modeling of two-process textures, analyzing their impact on contact mechanics, friction, and wear.
Article
Engineering, Mechanical
Ashwani Pratap, Karali Patra
Summary: This paper presents a novel approach of fabricating micro-pool arrays on the secondary surface of PCD micro-tools to address the issue of wear debris entrapment. Experimental results show that the proposed design outperforms traditional methods in terms of cutting forces, debris disposal, surface finish, and tool utilization time.
Article
Engineering, Multidisciplinary
Chuandong Zhang, Wei Wang, Hai Li
Summary: This paper proposes a wear stage division-based tool wear prediction method based on improved symmetrized dot pattern and multi-covariance Gaussian process regression. By dividing the wear process into different stages and using different methods for each stage, more accurate prediction results are achieved. The experimental results demonstrate that this method is more accurate than existing methods, providing new theoretical and practical support for identifying tool working condition and predicting tool wear.
Article
Engineering, Mechanical
Kangping Gao, Xinxin Xu, Shengjie Jiao
Summary: This paper proposes a new tool wear prediction method based on multi-sensor hybrid domain information fusion, which extracts energy values of multiple frequency bands and combines them with time domain and frequency domain features to construct a feature set. The gated recurrent unit model is used to explore the relationship between features and tool wear, demonstrating the superiority of the proposed method.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Materials Science, Multidisciplinary
Wadim Schulz, Florian Koehn, Martin Balzer, Martin Fenker, Joachim Albrecht
Summary: Molybdenum nitride layers were deposited onto high-speed steel substrates using high-power impulse magnetron sputtering. The tribological properties of the wear-resistant surfaces were controlled through a sophisticated pretreatment of the substrates. The surface topography and composition were modified before the deposition of MoN using a microembossing technique and additional deposition of silver. The modification of the substrate allowed for a reduction in friction, change in the dominant wear process, and potential increase in surface lifetime.
Article
Engineering, Mechanical
Ryo Sakakibara, Ichiro Yoshida, Sho Nagai, Yuki Kondo, Kenichi Yamashita
Summary: The study introduces a newly developed algorithm to evaluate the running-in wear process of plateau surfaces, addressing the calculation problems and human judgment required in previous methods. This proposed method offers easy, precise, and direct evaluation of plateau surfaces and is expected to aid in determining optimal machining methods and conditions.
TRIBOLOGY INTERNATIONAL
(2021)
Article
Chemistry, Physical
Enrique Garcia-Martinez, Valentin Miguel, Alberto Martinez-Martinez, Juana Coello, Jesus Andres Naranjo, Maria Carmen Manjabacas
Summary: This study focuses on the turning process of Ti48Al2Cr2Nb gamma titanium aluminide under dry conditions and proposes a simple solution to reduce tool wear. The results demonstrate that this solution improves the machining process based on various evaluation criteria.
Article
Chemistry, Physical
S. Benfer, B. Strass, G. Wagner, W. Fuerbeth
SURFACE AND INTERFACE ANALYSIS
(2016)
Article
Materials Science, Multidisciplinary
Marco Thomae, Guntram Wagner, Benjamin Strass, Bernd Wolter, Sigrid Benfer, Wolfram Fuerbeth
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
(2018)
Article
Nanoscience & Nanotechnology
Yasmine Gabi, Olivier Martins, Bernd Wolter, Benjamin Strass
Article
Metallurgy & Metallurgical Engineering
Andreas Gester, Marco Thomae, Guntram Wagner, Benjamin Strass, Bernd Wolter, Sigrid Benfer, Wolfram Fuerbeth
WELDING IN THE WORLD
(2019)
Article
Materials Science, Multidisciplinary
M. Thomae, A. Gester, G. Wagner, B. Strass, B. Wolter, S. Benfer, D. K. Gowda, W. Fuerbeth
MATERIALWISSENSCHAFT UND WERKSTOFFTECHNIK
(2019)
Review
Materials Science, Multidisciplinary
Y. Gabi, K. Jacob, B. Wolter, C. Conrad, B. Strass, J. Grimm
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2020)
Article
Materials Science, Multidisciplinary
D. Sedira, Y. Gabi, A. Kedous-Lebouc, K. Jacob, B. Wolter, B. Strass
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2020)
Article
Metallurgy & Metallurgical Engineering
Sigrid Benfer, Marco Thoma, Guntram Wagner, Benjamin Strass, Bernd Wolter, Wolfram Fuerbeth
Summary: Friction stir welding is a solid-state joining method suitable for different materials, and the amount and size of steel particles in the near-surface area of joints depend on the ultrasound power used.
STEEL RESEARCH INTERNATIONAL
(2021)
Proceedings Paper
Engineering, Manufacturing
Marco Thomae, Guntram Wagner, Benjamin Strass, Bernd Wolter, Sigrid Benfer, Wolfram Fuerbeth
FRICTION STIR WELDING AND PROCESSING X
(2019)
Proceedings Paper
Metallurgy & Metallurgical Engineering
Marco Thomae, Guntram Wagner, Benjamin Strass, Christian Conrad, Bernd Wolter, Sigrid Benfer, Wolfram Fuerbeth
FRICTION STIR WELDING AND PROCESSING IX
(2017)
Proceedings Paper
Materials Science, Multidisciplinary
M. Thomae, G. Wagner, B. Strass, B. Wolter, S. Benfer, W. Fuerbeth
19TH CHEMNITZ SEMINAR ON MATERIALS ENGINEERING
(2017)
Proceedings Paper
Materials Science, Multidisciplinary
B. Strass, C. Conrad, B. Wolter
19TH CHEMNITZ SEMINAR ON MATERIALS ENGINEERING
(2017)
Proceedings Paper
Materials Science, Multidisciplinary
S. Benfer, W. Fuerbeth, M. Thomae, G. Wagner, B. Strass, B. Wolter
19TH CHEMNITZ SEMINAR ON MATERIALS ENGINEERING
(2017)
Proceedings Paper
Engineering, Manufacturing
Christian Conrad, Benjamin Strass, Bernd Wolter
HOT SHEET METAL FORMING OF HIGH-PERFORMANCE STEEL: CHS2, 6TH INTERNATIONAL CONFERENCE, 2017
(2017)
