Results 41 to 50 of about 4,627,493 (234)

Modelling production ramp-up of engineering products [PDF]

, 2010
Companies that introduce new products quickly have been shown to be better performers. The effectiveness of the new product introduction process is critical to their performance. Production ramp-up is a necessary phase of new product introduction, and
Roberts, S., Ball, Peter D., Scorzafave, C., S Roberts, P D Ball, C Scorzafave, Natalicchio, A., A Natalicchio, Roberts S., Natalicchio A., Scorzafave C., Ball P. D.   +11 more
core   +1 more source

Facile One‐Pot Solvothermal Synthesis of Bi2Te3 Nanoplate/Te Nanorod Composites with High Seebeck Coefficients for Flexible Film‐Based Thermoelectric Generators

Advanced Electronic Materials, EarlyView.
A one‐pot solvothermal reaction yields Bi2Te3 nanoplate/Te nanorod composites, in which the antimony precursor regulates crystallite size without lattice incorporation. Drop‐cast flexible films reach Seebeck coefficients of −127 and 323 µV K−1 at 393 K, and a flexible thermoelectric generator produces 6.2 mV at a temperature difference of 5.6 K ...
Keisuke Kaneko, Keisuke Uchida, Yoshiyuki Shinozaki, Hiroto Nakayama, Shuya Ochiai, Shugo Miyake, Masayuki Takashiri   +6 more
wiley   +1 more source

Design and analysis of centrifugal compressor in carbon dioxide heat pump system

Scientific Reports
Based on the advantages of energy saving, environmental protection and high efficiency, carbon dioxide heat pump system has great application prospects. However, there are still many technical problems to be solved, especially the design and optimization
Peng Jiang, Yong Tian, Bo Wang, Chaohong Guo   +3 more
doaj   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Energy-Optimal Trajectory Planning for Near-Space Solar-Powered UAV Based on Hierarchical Reinforcement Learning

IEEE Access
One of the key technologies for achieving day and night flight, tracking solar peak, and reducing flight energy consumption for a near-space solar-powered unmanned aerial vehicle (UAV) is trajectory planning.
Tichao Xu, Di Wu, Wenyue Meng, Wenjun Ni, Zijian Zhang   +4 more
doaj   +1 more source

Variation principle in calculating the flow of a two-phase mixture in the pipes of the cooling systems in high-rise buildings

E3S Web of Conferences, 2018
The analytical solution of one of the urgent problems of modern hydromechanics and heat engineering about the distribution of gas and liquid phases along the channel cross-section, the thickness of the annular layer and their connection with the mass ...
Aksenov Andrey, Malysheva Anna
doaj   +1 more source

Radiative Hybrid Nanofluid Flow Over a Porous Riga Surface: A Fuzzy–ANN Modeling Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a fuzzy–ANN model to investigate the nonlinear thermal transport in a tangent hyperbolic (Tanh) hybrid nanofluid flow past a porous Riga surface, considering the effects of Rosseland diffusion, chemical reactions, and internal volumetric heating.
Azad Hussain, Rabia Zetoon, Reeha Iqbal
wiley   +1 more source

Numerical Study of MHD Hybrid Nanofluid Flow With Multiple Slip Effects Over a Variable Porous Stretching Surface

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This work discusses the thermal performance of magnetized hybrid nanofluid flow over a variable porous stretchable surface, emphasizing the underlying physical mechanisms governing heat and mass transfer. The Cattaneo–Christov flux model is used in place of Fourier's and Fick's laws to incorporate relaxation effects, ensuring a more realistic ...
Mounirah Areshi, Abdul Bariq, Salemah A. Almutlak, Fahad Maqbul Alamrani, Zehba Raizah, Anwar Saeed   +5 more
wiley   +1 more source

Data-Driven Safety-Aware Reinforcement Learning for Transient Scheduling of Turbofan Engines

IEEE Access
Safe transient operation is essential for turbofan engines, yet conventional min–max schedules are often conservative and require extensive manual tuning.
Weiqun Fan, Jiaxian Sun, Chunyan Hu, Xingen Lu, Keqiang Miao, Qingwen Zeng   +5 more
doaj   +1 more source

Numerical simulation of flow characteristics behind the aerodynamic performances on an airfoil with leading edge protuberances

Engineering Applications of Computational Fluid Mechanics, 2017
This article presents a numerical investigation of the effects of leading-edge protuberances on airfoil stall and post-stall performance. An improved delayed detached eddy simulation (IDDES) method was adopted.
Ming Zhao, Mingming Zhang, Jianzhong Xu
doaj   +1 more source