Results 161 to 170 of about 448,783 (286)

Factors affecting weld quality in resistance spot welding of advanced high strength steels. [PDF]

Sci Rep
Feizollahi V, Bahmani A, Nadimi N, Salmani MR, Pouranvari M, Park YD, Ashiri R.   +6 more
europepmc   +1 more source

Friction Stir-Spot Welding of AA5052-H32 Alloy Sheets: Effects of Dwell Time on Mechanical Properties and Microstructural Evolution. [PDF]

Materials (Basel), 2023
Ahmed MMZ, El-Sayed Seleman MM, Sobih AME, Bakkar A, Albaijan I, Touileb K, Abd El-Aty A.   +6 more
europepmc   +1 more source

Essential work of fracture and absorbed energy by Charpy impact test of TRIP780 1.5 mm thick sheet steel Kerbschlagarbeit und absorbierte Energie bei der Charpy‐Schlagprüfung an 1,5 mm dickem Restaustenitstahlblech (HCT 780)

Materialwissenschaft und Werkstofftechnik, EarlyView.
The study demonstrated that absorbed energy (Charpy impact test) and fracture toughness (EWF test) are essential for evaluating the mechanical performance of thin sheet metallic materials. Transformation‐induced plasticity (TRIP) steels have been extensively studied concerning their mechanical performance under monotonic loading and conventional ...
W. R. Soares, C. A. R. P. Baptista, J. A. Avila, H. Goldenstein   +3 more
wiley   +1 more source

Optimizing Friction Stir Spot Welding Parameters for Enhanced Mechanical, Thermal, and Microstructural Properties of PA6. [PDF]

Polymers (Basel)
Danış Bekdemir A, Karagöz İ.
europepmc   +1 more source

Prediction of Resistance Spot Welding Quality Based on BPNN Optimized by Improved Sparrow Search Algorithm. [PDF]

Materials (Basel), 2022
Hu J, Bi J, Liu H, Li Y, Ao S, Luo Z.
europepmc   +1 more source

Detecting Loosening of Bolt‐Flanged Pipe Using Smoothed Pseudo Wigner–Ville Distribution: Digital Twin‐Based Approach Using Convolution Neural Networks

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this paper, an integrated digital twin‐based fault‐diagnosis framework is proposed to detect bolt loosening in flanged pipe connections. The approach combines finite element‐based numerical modeling, experimental modal analysis, and advanced signal processing‐assisted deep learning to achieve reliable loosening detection under operational ...
Milad Shabani Yousefabad, Behzad Totakhaneh Bonab, Morteza Homayoun Sadeghi, Mir Mohammad Ettefagh, Mohammad Reza Chalak Qazani   +4 more
wiley   +1 more source

The Performance of Ti/Steel Joints Welded by Resistance Spot Welding with a Nickel Interlayer. [PDF]

Materials (Basel)
Wang N, Li G, Hu Y, Shi H, Qiu R, Zhang K.   +5 more
europepmc   +1 more source

Effects of Rotational Speed on the Microstructure and Mechanical Properties of 2198-T8 Al-Li Alloy Processed by Friction Spot Welding. [PDF]

Materials (Basel), 2023
Pang Z, Yang J, Cai Y.
europepmc   +1 more source

Nonwoven rCF/PA6 Thermoplastic Composites: Hybrid Commingled Fibers vs. Powder Impregnation—Effects on Microstructure and Mechanical Properties

Polymer Composites, EarlyView.
Comparison of powder impregnation and hybrid commingled non‐wovens for PA6/rCF nonwoven composites. The two‐step powder route gives lower voids and higher properties, while the single‐step hybrid route is limited by precursor inhomogeneity and high void content.
Gaia Francesca Lupia, Tommaso Pini, Ilaria Rossitti, Sara Taherinezhad Tayebi, Marco Valente   +4 more
wiley   +1 more source

Tool Geometries and Design of Friction Stir Spot Welding (FSSW) Tools and Effect on Weld Properties-A Comprehensive Review. [PDF]

Materials (Basel)
Arumugam A, Basak AK, Pramanik A, Littlefair G.   +3 more
europepmc   +1 more source