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Research on and Design of Mechanical System with Optimal Cutting Movement Trajectory of Energy-Saving Stone-Sawing Machine
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作者 WANG Ji-rong 1, LI Lan-ji 1, LI Jun 1,3, LI Hua 2, ZHONG Yun-qing 3 (1.Qingdao University, Qingdao 266071, China 2.Wendeng Foreign Economic and Trade Corp, Wendeng 264400, China 3.Qingdao University of Science and Technology, Qingdao 266042, China) 《厦门大学学报(自然科学版)》 CAS CSCD 北大核心 2002年第S1期140-141,共2页
The technique of cutting slabstone with stone-sawi ng machine is analyzed completely. A new kind of cutting movement trajectory is gi ven whose actual cutting efficiency is near to 100%. It can reduce the energy w ear... The technique of cutting slabstone with stone-sawi ng machine is analyzed completely. A new kind of cutting movement trajectory is gi ven whose actual cutting efficiency is near to 100%. It can reduce the energy w earing greatly, and the surface quality of the product is improved to the utmost extent. The design mechanism of the optimal cutting movement trajectory system structure is analyzed incisively. At the same time, the principle of the complex movement of horizontal movement and swing is researched. The optimal design scheme of th e cutting movement trajectory system structure is set up. The choice method to g et the superior value of the movement system structure is found. The mathematics function formula is established which exhibits the relationship between the par ameter of the complex movement structure and that of the system movement structu re. By the formula, the precision value of the offset can be figured out. The r ule is adapted to different types of energy-saving stone-sawing machines. The complex movement structure of horizontal movement and swing is designed to f ulfill the cutting movement. It can make the saw frame move up with the hanging pod deviating from the vertical direction. At the same time, the saw frame have a down-movement. Then the sum of the two movements is near to zero, and the saw blade and the stone can keep in touch during the whole horizontal cutting. The result is that the actual cutting efficiency is 100%. Also, when the hanging pod moves to the limited position, the saw frame can keep the original inertia, and continue to swing up. It makes the back-cutting have high energy-storing. The optimal design of the eccentricity balance wheel is done. The mathematics fo rmula for expressing the movement system structure is deduced. The calculation m ethod and formula is set up which is used to get the value of important componen ts such as offset. The choice method and formula of elasticity distortion coeffi cient is set up when the saw frame moves smoothly. It is concluded that the offs et is the key dimension to actualize the optimal cutting movement trajectory. The resolving of the technical problems discussed above offers a theoretic and technical basis for optimal design of energy-saving stone-sawing machines. 展开更多
关键词 DESIGN Research on and Design of Mechanical System with Optimal Cutting movement Trajectory of Energy-Saving Stone-Sawing Machine
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Revisiting workflow execution in HPC:a data-flow approach
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作者 Tao Chen Xiaoning Wang +2 位作者 Guanlong Li Yining Zhao Haili Xiao 《CCF Transactions on High Performance Computing》 2026年第1期80-93,共14页
Scientific workflows are essential to modern scientific computing,yet traditional execution approaches-based on control-flow paradigms and disk-based data transfers-struggle as data movement,rather than computation,em... Scientific workflows are essential to modern scientific computing,yet traditional execution approaches-based on control-flow paradigms and disk-based data transfers-struggle as data movement,rather than computation,emerges as the dominant performance bottleneck.These methods suffer from long latency due to centralized orchestration,sequential task triggering,and inefficient disk-mediated exchanges.We propose HPCFlow,a data-flow-oriented workflow framework designed for high-performance computing(HPC)environments.HPCFlow supports decentralized,input-driven execution.Functions are decomposed into computation and data transmission,enabling asynchronous data propagation and efficient overlap.HPCFlow incorporates context-aware data transfer strategies and alleviates small-file I/O inefficiencies through mini-batching.Additionally,HPCFlow implements an input synchronization mechanism to guarantee data completeness during parallel execution under elastic scaling conditions.Empirical results from a production HPC environment demonstrate that compared to a control-flow baseline,HPCFlow significantly reduces makespan and end-to-end latency,achieves efficient overlap,and alleviates pressure on network file systems,thereby validating its effectiveness for data-intensive scientific workflows. 展开更多
关键词 Scientific Workflows High-Performance Computing(HPC) Cloud Computing Data-Flow Execution Data movement optimization
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