Results 211 to 220 of about 6,071,763 (407)

Modeling and optimization of parameters for minimizing surface roughness and tool wear in turning Al/SiCp MMC, using conventional and soft computing techniques [PDF]

, 2015
Santosh Kumar Tamang, M. Chandrasekaran
openalex   +1 more source

On Tool Wear

Transactions of the Japan Society of Mechanical Engineers, 1968
openaire   +2 more sources

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

A novel simultaneous monitoring method for surface roughness and tool wear in milling process. [PDF]

Sci Rep
Liu R, Tian W.
europepmc   +1 more source

Enhancing Tool Wear Prediction Accuracy Using Walsh-Hadamard Transform, DCGAN and Dragonfly Algorithm-Based Feature Selection. [PDF]

Sensors (Basel), 2023
Shah M, Borade H, Sanghavi V, Purohit A, Wankhede V, Vakharia V.   +5 more
europepmc   +1 more source

LipoGels: Robust Self‐Lubricating Physically Cross‐Linked Alginate Hydrogels Embedded with Liposomes

Advanced Functional Materials, EarlyView.
Physically cross‐linked alginate hydrogels embedded with 1,2‐dipalmitoyl‐sn‐glycero‐3‐phosphocholine liposomes (LipoGels) are prepared under optimized conditions to avoid shrinkage and achieve structural uniformity. LipoGels demonstrate robust mechanical strength (Young's modulus ≈1 MPa), excellent lubrication (friction coefficient ≈0.021), and ...
Tao Ma, Xueying Guo, Najet Mahmoudi, Pierangelo Gobbo, Wuge H. Briscoe   +4 more
wiley   +1 more source

An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy. [PDF]

Sensors (Basel)
He Z, Shi T, Chen X.
europepmc   +1 more source

Tool Performance Assessment based on Three-Dimensional Tool Wear Rate

, 2018
Fernando Luiz Castro, Denis Boing, Rolf Bertrand Schroeter   +2 more
openalex   +1 more source

Photoluminescent UV Light Modulation via Anisometric Carbon Nanodots for UV–Visible Shutter and UV Sensor

Advanced Functional Materials, EarlyView.
Anisometric carbon nanodots are synthesized directly from a liquid crystal precursor and embedded into polymer network liquid crystals to create soft, multifunctional photonic films. These hybrid devices exhibit polarized photoluminescence, broad UV absorption, and fast, electrically tunable light modulation.
Mangesh D. Patekari, Archana Ramadas, Minhee Yun, Seung Hee Lee, MinSu Kim   +4 more
wiley   +1 more source

Tool wear prediction based on XGBoost feature selection combined with PSO-BP network. [PDF]

Sci Rep
Lin Z, Fan Y, Tan J, Li Z, Yang P, Wang H, Duan W.   +6 more
europepmc   +1 more source