Results 151 to 160 of about 4,579 (301)

Low Cycle Repetitive Loading of Ti‐6Al‐4V‐Epoxy Composite Lattice Structures for Enhanced Energy Dissipation and Damage Tolerance

Advanced Engineering Materials, EarlyView.
Composite Ti–6Al–4V–epoxy lattice structures are additively manufactured and epoxy infiltrated for cyclic loading. At low lattice volume fractions, hybridization produces synergistic gains in stiffness and energy dissipation. At higher volume fractions, synergy diminishes, although composites still exceed metallic lattices in specific energy ...
Joey Tallon, Jordan Noronha, Justin Dirrenberger, Andrey Molotnikov   +3 more
wiley   +1 more source

Advancing sustainable machining of inconel 718 through nanoparticle-enhanced coconut oil and RSM-GA optimization. [PDF]

Sci Rep
Almomani O, Rajput V, Rao ACU, Samantaray S, Patil N, Singh R, Naidu BVV, Sahani M, Bhowmik A, Abate L.   +9 more
europepmc   +1 more source

Exploration of Pseudobinary Alloys (Al–Mn)‐(Co–Fe–Ni) to Design High‐Entropy and Compositionally Complex Alloys to Stabilize the τ Phase in Al–Mn‐Based Ferromagnetic Alloys

Advanced Engineering Materials, EarlyView.
This experimental study investigates the thermodynamic limits of the Al–Mn τ ferromagnetic phase within complex‐composition alloys (CCAs). Using nine rare‐earth‐free compositions, it explores a broad region of the pseudobinary AlMnCoFeNi system. The results reveal intricate links between composition, phase stability, and magnetic behavior, highlighting
Sacha Plagnol‐Chauzu, Laurent Peltier, Fodil Meraghni, Stéphane Delalande, Frédéric Mazaleyrat   +4 more
wiley   +1 more source

KAJI EKSPERIMENTAL SUSTAINABLE MACHINING PADA PROSES PEMBUBUTAN BAJA AISI 1045

, 2018
Sustainable development will become importance issues for many fields, including production, industry, andmanufacturing. In order to achieve sustainable development, industry should be able to perform of sustainableproduction processes and ...
Nur, Rusdi, Nasrullah, Baso
core  

Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure

Advanced Engineering Materials, EarlyView.
Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari, Supharoek Sornsomrit, Muhammad Ayaz Akbar, Stephan Rudykh   +3 more
wiley   +1 more source

A Multi-Objective optimization framework for the sustainable machining of Monel 400. [PDF]

Sci Rep
Sen B, Kantheti P, Rathore S, Kanabar B, Thulasiram R, Kumar M, Bhowmik A, Santhosh AJ.   +7 more
europepmc   +1 more source

A Dislocation Perspective on Strength and Toughness in Ceramics

Advanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions

Advanced Engineering Materials, EarlyView.
This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi, Kimiya Tajik, Harvey Shaw, Matti Isakov, Sami Pajunen, Lauri Rautkari   +5 more
wiley   +1 more source

Sustainable machining of heat resistant superalloys using hybrid nanofluid based minimum quantity lubrication. [PDF]

Sci Rep
Chohan JS, Samantaray S, Bupesh Raja VK, Patil N, Kaladhar M, Mann VS, Abate L, Ghodhbani R.   +7 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source