Advanced tooth profile roughing system (Innovating gear skiving with diamond-shaped edge tools) by Hiroki YONEZAWA, Jun’ichi KANEKO, Takeyuki ABE, Akihiro NAKAZATO

“…This method proves to be efficient for machining internal gears, addressing challenges faced by conventional machining methods. …”
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Influence of structural surface roughness on the strength of layered fill bodies based on PFC2D by Jinxing WANG, Zongsheng HU, Huazhe JIAO, Xiaolin YANG, Qi ZHANG, Xiaohui LIU, Ping XU, Junqiang XU, Xun CHEN

“…The cracks form as large macroscopic fractures in the vertical direction, indicating that as the interface roughness increases, the quality of the bonding surface improves, leading to more efficient usage of the overall mechanical properties of the specimens. …”
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New Insights Reached via Graded-Interfaces Modeling: How High-Power, High-Efficiency Mid-Infrared QCLs Work by Dan Botez, Suraj Suri, Huilong Gao, Thomas Grange, Jeremy D. Kirch, Luke J. Mawst, Robert A. Marsland

“…A low-leakage 4.7 µm emitting design provides a projected 24.5% WPE value, considering MOCVD-growth, graded-interface interface-roughness (IFR) parameters, and waveguide loss (α_w). …”
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Influence of surface roughness of thermal barrier coating on the cooling performance of a film-cooled turbine vane by Xiaoyu Song, Feng Liu, Yan Yan, Wen Wang, Yaning Wang, Wei Sun, Jiahuan Cui

“…Our analysis delves into the effects of varying roughness levels (0 μm, 0.81 μm, 2 μm and 3 μm) on vane cooling efficiency, TBC performance, and vane heat transfer coefficient. …”
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An Advanced Approach for Predicting Workpiece Surface Roughness Using Finite Element Method and Image Processing Techniques by Taoming Chen, Chun Li, Zhexiang Zou, Qi Han, Bing Li, Fengshou Gu, Andrew D. Ball

“…Thus, the proposed model provides a precise predictive tool for surface roughness, offering valuable guidance for optimizing machining parameters and supporting proactive control in the turning process, ultimately enhancing machining efficiency and quality.…”
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Deep Learning for Anomaly Detection in CNC Machine Vibration Data: A RoughLSTM-Based Approach by Rasım Çekik, Abdullah Turan

“…Ensuring the reliability and efficiency of computer numerical control (CNC) machines is crucial for industrial production. …”
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Preference set-based design method for qualitative assessments using dominance-based rough set approach by Shotaro OYAMA, Takeo KATO

“…The preference set-based design (PSD) method enhances design efficiency by providing an adjustment range that reflects the preferences of the designer in the quantitative design variables and performance. …”
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Numerical analysis of ski suits surface roughness effects on aerodynamics during the in-run phase of ski jumping by Hong Lin, Hong Wang, Qianyun Zhang, Yong Ma, Weitao Zheng

“…Flow field analysis reveals that moderate surface roughness promotes earlier boundary-layer transition and delays flow separation, thereby enhancing aerodynamic efficiency. …”
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RSTHFS: A Rough Set Theory-Based Hybrid Feature Selection Method for Phishing Website Classification by Jahanggir Hossain Setu, Nabarun Halder, Ashraful Islam, M. Ashraful Amin

“…Performance was further assessed using three advanced classifiers: Light Gradient-Boosting Machine (LightGBM), Random Forest (RF), and Categorical Boosting (CatBoost), with CatBoost emerging as the most efficient, achieving the highest accuracy. Additionally, RSTHFS reduced the runtime by 61.43%, highlighting its efficiency. …”
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Elastohydrodynamic analysis of multistep texture effects and partial surface roughness on the tribological performance of steel journal bearings by Muchammad Muchammad, Mohammad Tauviqirrahman, Yusuf Muhammad Rizki, Imam Syafaat, Farikha Maharani, Muhammad Imam Ammarullah

“…To meet the demands for efficient and cost-effective applications in high-speed machinery, it is imperative to enhance the tribological performance of journal bearings. …”
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Investigation into the flow and heat transfer characteristics in liquid metal cooled narrow rectangular channel with rough surfaces by Xue Zhang, Wenpei Feng, Xiaolong Yang, Hongxing Yu, Jian Deng, Sijia Du

“…This enhances heat transfer while simultaneously increasing flow resistance. Among different roughness types, cylindrical roughness elements demonstrate a more substantial improvement in both heat transfer efficiency and friction factor compared to cubic elements. …”
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Neutrosophic Soft Rough Sets for Optimizing Rural Legal Aid: A Novel Approach to Rural Revitalization by Yan Sui

“…The proposed NSRS model integrates the strengths of soft sets, rough sets, and neutrosophic logic to manage vagueness and inconsistency in legal aid data. …”
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Heat Transfer Enhancement in a Tube Heat Exchanger Using Discrete Triangular-Prism Roughness Elements by Dolfred Vijay Fernandes

“…Heat exchangers of high effectiveness are generally sought by the thermal industry for the efficient utilization of heat energy. The present study focuses on the enhancement of the effectiveness of a single-tube heat exchanger by attaching equilateral triangular-prism roughness elements on the peripheral heat transfer surface. …”
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Beyond the Arbitrariness of Drug-Likeness Rules: Rough Set Theory and Decision Rules in the Service of Drug Design by Grzegorz Miebs, Adam Mielniczuk, Miłosz Kadziński, Rafał A. Bachorz

“…This way, we reduced human bias and enabled efficient knowledge extraction from available data. …”
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Evaluating Bicycle Path Roughness: A Comparative Study Using Smartphone and Smart Bicycle Light Sensors by Tufail Ahmed, Ali Pirdavani, Geert Wets, Davy Janssens

“…The study highlights the potential of integrating smartphone sensors and smart bicycle lights for efficient, large-scale assessments of bicycle infrastructure, contributing to more informed urban planning and improved cycling conditions. …”
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Numerical heat transfer analysis considering thermal contact conductance between rough reciprocating sliding surfaces by Yuwei Liu, Jiasong Yang, Zhiqiang Guo, Yanpeng Yuan, Weizheng Zhang, Sichuang Wanyan

“…This research provides a new efficient way to analyze heat transfer in reciprocating sliding contacts and predict the contact surface temperatures.…”
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Preliminary Experimental Comparison of Plunge Milling and Face Milling: Influences of Cutting Parameters on Cutting Force and Surface Roughness by Afraa Khattab, István Sztankovics, Csaba Felhő

“…The choice between milling techniques can significantly impact the final product quality and production efficiency. This study provides a detailed examination of the relative effectiveness of plunge milling (axial feed) versus face milling (radial feed) techniques, concentrating on critical performance metrics such as cutting force and surface roughness. …”
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Roughness Estimation of Multimode Rectangular Optical Waveguide Based on the Scattering Loss Difference Between SMFW and MMFW Structures by Chuanlu Deng, Tingyun Wang, Jiamin Chen, Chengbo Mou, Xiaobei Zhang, Xinjie Yan, Fufei Pang

“…By further analyzing the mode scattering loss coefficients of ROW induced by roughness, it is found that the total scattering loss for the SMFW structure is less than that for the MMFW structure, which can be used to estimate the roughness. …”
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Approximation of the Integrals of the Gaussian Distribution of Asperity Heights in the Greenwood-Tripp Contact Model of Two Rough Surfaces Revisited by Radosław Jedynak, Jacek Gilewicz

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Roughing Nitrogen-Doped Carbon Nanosheets for Loading of Monatomic Fe and Electroreduction of CO₂ to CO by Yuxuan Liu, Yufan Tan, Keyi Zhang, Tianqi Guo, Yao Zhu, Ting Cao, Haiyang Lv, Junpeng Zhu, Ze Gao, Su Zhang, Zheng Liu, Juzhe Liu

“…Here, we employed different Mg(OH)₂ templates to guide the fabrication of two kinds of amorphous nitrogen-doped carbon nanosheet-supported Fe single atoms (FeSNC) with rough and flat surface structures. In comparison to flat FeSNC with saturated FeN₄ sites, the rough FeSNC (R-FeSNC) exhibited unsaturated FeN_4−x sites and contracted Fe-N bond length. …”
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