The Influence of Wind Speed on Pneumatic Conveying Characteristics of Solid Feed in Horizontal Pipe by Simulation and Experiment by Chengming Wang, Shihui Jiao, Zhuoyao Wang, Pengfei Guo, Hao Ma, Baojun Li, Weiwei Zhang, Wei Lv, Xingyuan Fu, Shuaihao Wang, Chenkai Dong, Ge Guo, Hongyang Wang

“…The results show that when the conveying wind speed increases from 18 m/s to 20.6 m/s, the solid feed changes from sedimentary flow to suspended flow, the particle accumulation gradually decreases and the conveying efficiency is significantly improved. The particle slug greatly reduces the collision and friction between the internal particles and the pipe and reduces the crushing rate to a certain extent. …”
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Cálculo de la fuerza de fricción necesaria para extraer el coque de hornos solera para el diseño de prototipos de máquinas de empuje by Oscar Manuel Duque Suarez, Marco José Duarte Márquez, Leopoldo Valero Jaimes, Elio Alarcón Suarez, Sergio Andres Davila Sepulveda

“…An experimental validation was performed using a proposed methodology to calculate the force required by the motor to extract coke, based on variables such as voltage, amperage, efficiency, and power factor. …”
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Thermal performance prediction of a V-trough solar water heater with a modified twisted tape using ANFIS, G.L.R., R.T. and SVM models of machine learning by A. Saravanan, S. Rama Sree, M. Sreenivasa Reddy, Elumalai PV, Krishnasamy Karthik, Ashok Kumar Cheeli, Nasim Hasan

“…The dependent variables in this study are the Nusselt number (Nu), friction factor (FF), and efficiency (η). 130 datasets were chosen for training purposes, while 32 were used for testing. …”
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Predictive Modeling and Optimization of Hot Forging Parameters for AISI 1045 Ball Joints Using Taguchi Methodology and Finite Element Analysis by Naiyanut Jantepa, Nattarawee Siripath, Surasak Suranuntchai

“…The ANOVA revealed that the billet temperature played a significant role in influencing the preforming force, finishing force, and mean stress, with a maximum impact of 62.30%, 59.50%, and 94.20% on the variation in the response variable, respectively. Additionally, the friction factor significantly affected the preforming and finishing forces, contributing 36.19% and 38.28%. …”
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Entropy analysis of MHD hybrid nanofluid in a rotating channel filled with porous material by Emaline Joseph Ndelwa, Michael Hamza Mkwizu, Alex Xavery Matofali, Ahmada Omar Ali

“…In addition, the increase of rotational parameter has been found to reduce skin friction to the greatest extent. These findings underscore the potential of hybrid nanofluids in optimizing thermal systems by reducing entropy generation and enhancing heat transfer efficiency.…”
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Impact of viscous dissipation, chemical reaction over a Carreau hybrid nanofluids flow across a permeable curved Riga surface by R. Mahesh, U.S. Mahabaleshwar, Basma Souayeh

“…Increasing the modified Hartmann number results in elevated skin friction and a reduction in the Nusselt number for both shear thickening and shear thinning scenarios. …”
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Unsteady flow and heat transfer optimization of viscous fluid with bioconvection over a rotating stretchable disk and gyrotactic motile microorganisms by Mazhar Hussain, Samya Shahid, Noreen Sher Akbar, Mohammed Kbiri Alaoui

“…The model combined energy and concentration equation of microorganisms along with modified momentum equations, considering impact of internal heat generation and nanoparticles diffusion. Impact of unsteady variable (S), disk stretching variable (α), Prandtl number (Pr), Lewis number (Le) are analyzed graphically to understand the thermal and flow behavior. …”
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Implications of thermal stratification and radiative heat flux in blood-based ternary and dihybrid nanomaterial flow through a stretchable cylinder by Muzher Saleem, Ghada A. Khouqeer, Fazal Haq, Naglaa AbdelAll, Arshad Hussain, Mohammed Sallah

“…A reduction of 4 % in the skin friction coefficient of THNF compared to HNF is noticed. …”
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Thermal performance analysis of magnetohydrodynamic Al2O3-SiO2-TiO2/water ternary hybrid nanofluid in converging and diverging channels with nanoparticle shape effects by C.M. Mohana, B. Rushi Kumar, Sunitha Nagarathnam, I.S. Shivakumara

“…Platelet-shaped nanoparticles demonstrate lower skin friction in divergent channels, whereas spherical nanoparticles exhibit higher skin friction; this trend reverses in convergent channels. …”
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Modeling Organizational Justice and Job Satisfaction with the Mediating Role of Organizational Indifference by Ali soboohi, hadi hematian, Abolfazl danaee

“…Also, the indirect effect of the organizational justice and job satisfaction variable with the effect of the mediating variable of organizational indifference is 0.062. …”
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Research and application on megawatt level intelligent fracturing pump system in coal mine by Ran LI, Chuliang WANG, Bo LIU, Yanjun FENG, Pengfei JIANG, Rongming CHEN, Jingbin CHEN, Zhuo CHEN, Dalong WANG, Haicheng LU, Zongkai GUO, Tianze CAO, Yuanzheng YU, Chao WANG

“…The research included: Development of high-strength, erosion-resistant martensitic precipitation hardening stainless steel suitable for extreme conditions with large flow, ultra-high pressure, and sand-mixed media, along with ultra-high pressure self-reinforcing treatment to enhance the fatigue life of the hydraulic ends of fracturing pumps; Investigation of critical reliability technologies, including high-strength welding for alloy steel, high-load-bearing, high-power-to-weight ratio gear transmission technology, and wear-resistant friction pairs of aluminum bronze alloy-cast iron, to ensure the reliability of the transmission system under high-power conditions; Creation of a high-durability metal plunger-combination seal fracturing fluid sealing pair, with the application of computer simulation technologies such as virtual prototyping, FEA, CFD, and hydraulic system simulation to optimize the structure, performance, and reliability of the fracturing pump’s fluid end suction and discharge systems; Mastery of technologies such as low-frequency variable flow sealing for deep boreholes, automatic identification of coal and rock layer fracturing, and cyclic fracturing control, enabling intelligent control throughout the fracturing process. …”
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Steady and periodical heat-mass transfer behavior of mixed convection nanofluid with reduced gravity, radiation and activation energy effects by Cyrus Raza Mirza, Zia Ullah, A. Dahshan, Md Mahbub Alam, Khadijah M. Abualnaja, Hanaa Abu-Zinadah, Abdullah A. Faqihi, Nidhal Ben Khedher

“…A refined mathematical model is solved using dimensionless variables; oscillatory stokes conditions and primitive variables. …”
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Polarization scattering-based detection of lubricating materials by Xin Liu, Junxin Jian, Xiaolu Huang, Huilong Li, Yuan Tian, Weizhi Ma, Xiaolong Zhao, Zunnian Liu, Jiayi Sun, Xiushuo Zhang, Yong Wang, Xiaomei Zhu

“…Friction, wear, and corrosion are common phenomena in both industrial and daily life, significantly impacting the performance, lifespan, and energy efficiency of equipment. …”
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An analytical optimal calibration framework of bonded particle model for rock strength envelop modelling by Xiaoxiong Zhou, Hongyi Xu, Qiuming Gong, Yanan Ma, Weiqiang Xie

“…Bond tensile strength, cohesion and local internal friction angle were identified as independent variables for calibration. …”
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A numerical analysis of heat and mass transfer in water-based hybrid nanofluid flow containing copper and alumina nanoparticles over an extending sheet by Yasmin Humaira, Bossly Rawan, Alduais Fuad S., Al-Bossly Afrah, Saeed Anwar

“…Based on the current findings, it can be concluded that a higher magnetic factor increases the skin friction force, but higher micropolar parameters and micro-gyration constraints decrease the skin friction force. …”
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Computational analysis of thermo-solutal Marangoni convective unsteady stagnation point flow of tetra hybrid nanofluid past rotating sphere with activation energy by Munawar Abbas, Hawzhen Fateh M. Ameen, Jihad Younis, Nargiza Kamolova, Ebenezer Bonyah, Hafiz Muhammad Ghazi

“…Thermal distribution and rate of heat transfer improve but concentration distribution declines as nanoparticle volume friction rises.…”
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Mathematical model of working processes of piston hybrid power machine of volumetric action with reduced fluctuations of gas pressure in discharge line by V. E. Scherba, A. V. Grigor’ev, A. V. Zanin

“…Based on the General laws of conservation of energy, mass, motion and the equation of state, a mathematical model for calculating the control volumes of the compressor section of constant and variable volumes is developed. Based on the use of the equation of continuity of motion and energy, taking into account the energy loss for friction and external heat transfer, a mathematical model of the gas flow in the interstage communications of the compressor section is developed. …”
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A Study on the Impact of Industrial Robot Applications on Labor Resource Allocation by Kexu Wu, Zhiwei Tang, Longpeng Zhang

“…However, in the short term, improvements in innovation capacity may temporarily intensify labor mismatch due to structural frictions. Overall, industrial robots not only exert a direct positive impact on the efficiency of urban labor allocation but also indirectly contribute to resource optimization through structural transformation and innovation system development. …”
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Assessment of soil classification based on cone penetration test data for Kaifeng area using optimized support vector machine by Hanliang Bian, Zhongxun Sun, Jiahan Bian, Zhaowei Qu, Jianwei Zhang, Xiangchun Xu

“…In this study, Support Vector Machine (SVM) models were trained for soil classification using 649 Cone Penetration Test (CPT) datasets, specifically utilizing cone tip resistance ( $$q_c$$ ) and sleeve friction ( $$f_s$$ ) as input variables. Pearson correlation and sensitivity analysis confirmed that these variables are highly correlated with the classification results. …”
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Thermal performance analysis of a heat exchanger with a novel turbulator insert by using machine learning method by Jiangbo Wang, Chenzhe Li, Liangcai Zeng, Ting Fu, Kai Liu

“…To evaluate the performance of the predictions, various metrics are employed, including the Regression Coefficient (R2), Mean Squared Error, Mean Absolute Error, and Root Mean Squared Error, for each output variable. Furthermore, the MLP model emerges as a highly efficient tool for estimating the Nu/Nu0, f/f0, and TEF of the targeted heat exchanger, where the R2 value of Nu/Nu0 is 0.9821, f/f0 is 0.9967, and TEF is 0.9370.…”
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