Results 201 to 210 of about 83,388 (271)

Study on the service behavior of rivets connected with brake pads of high speed trains. [PDF]

Sci Rep
Yin J, Zhang Q, Liu Y, Liu Z, Wang Z, Zhang S, Sha Z.   +6 more
europepmc   +1 more source

Dynamic Evolution and Transformative Trends in the Consumer Market: A Technology Paradox Perspective

Psychology &Marketing, EarlyView.
ABSTRACT The consumer market is defined by tensions arising from the clash between technological advancement and consumer psychology. Current research lacks a unifying framework to explain these contradictions. Addressing this gap, we introduce a conceptual model based on technology paradox theory, which maps the dynamic process from antecedents ...
Chanaka Jayawardhena, Hongfei Liu, Chatura Ranaweera, P.K. Senyo   +3 more
wiley   +1 more source

Improved flexural fatigue behavior and strengthening mechanisms of rubberized concrete using pretreated crumb rubber. [PDF]

Sci Rep
Han X, Cheng Z, Yang L, Liu Y, Chen A, Wang Z, Feng L, Zhang Q.   +7 more
europepmc   +1 more source

Advancing Severe Plastic Deformation for Tubular Samples: Systematic Review and Machine Learning Optimization

MetalMat, EarlyView.
This review highlights recent advancements in Severe Plastic Deformation (SPD) techniques tailored for tubular samples. The mechanisms of processing are critically discussed with emphasis on microstructural control and the governing process parameters that enable refinement to ultrafine‐ and nano‐grained structures. Comparative insights into equivalent
Eman M. Zayed, Abdulrahman I. Alateyah, Waleed H. El‐Garaihy, Mahmoud Shaban, Majed Alinizzi, Nahed A. El‐Mahallawy   +5 more
wiley   +1 more source

Experimental Comparison of Elastomeric Materials for Hydraulic Seal Durability Under Reciprocating Conditions. [PDF]

Polymers (Basel)
Kumar V, Elen M.
europepmc   +1 more source

Prediction of the Mechanical Properties of the Additive Friction Stir‐Deposited Al2219 Using Machine Learning

Materials Genome Engineering Advances, EarlyView.
In this work, three prediction machine learning (ML) models (MLP, RBF, BP) are developed to predict the ultimate tensile strength (UTS) and elongation (EL) of the AFSDed Al2219 samples. ABSTRACT Additive friction stir deposition (AFSD) is an effective method for fabricating high‐performance deposits, with process parameters directly influencing the ...
Chan Wa Tam, Qian Qiao, Xiaowei Chen, Wai I Lam, Xiumei Gong, Yongyong Lin, Hongchang Qian, Dawei Guo, Dawei Zhang, Chi Tat Kwok, Lap Mou Tam   +10 more
wiley   +1 more source

A Comparative Analysis of the Fatigue Strength of Aluminium and Copper Wires Used for Power Cables. [PDF]

Materials (Basel)
Knych T, Smyrak B, Jurkiewicz B.
europepmc   +1 more source

An Improved Mesh Stiffness Model for a Gear Tooth With Double Cracks on Both Sides Considering Opened and Closed States

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Research on the failure mechanisms of gears with multiple cracks has gained widespread attention. Among these, the study of the mesh stiffness characteristics of gears with multiple cracks is crucial for optimizing gear design and improving transmission reliability.
Luyan Xu, Xin Yu, Yunyun Sun
wiley   +1 more source

Advances in tribological performance of plant-fiber reinforced epoxy composites. [PDF]

RSC Adv
Mia NM, Rabbi MS, Parvez MA, Chowdhury MA, Naim MSH, Hossain MM, Rahman MM.   +6 more
europepmc   +1 more source