The wing, one of the most important parts of aircraft, always requires sophis-ticated design to increase lift, reduce drag and weight. For modern fixed-wing UAV, extending cruising time is always a requirement for the...The wing, one of the most important parts of aircraft, always requires sophis-ticated design to increase lift, reduce drag and weight. For modern fixed-wing UAV, extending cruising time is always a requirement for the overall design. Designing a most light wing that can match the requirements of work condi-tions is desired. In this work, according to the work conditions, we compare several types of wing and chose beam-type wing. Then we made the detailed design and optimization to reduce the weight of wing. At last, we draw the 3D model for potential realistic production.展开更多
As a matter of fact,most natural structures are complex topology structures with intricate holes or irregular surface morphology.These structures can be used as lightweight infill,porous scaffold,energy absorber or mi...As a matter of fact,most natural structures are complex topology structures with intricate holes or irregular surface morphology.These structures can be used as lightweight infill,porous scaffold,energy absorber or micro-reactor.With the rapid advancement of 3D printing,the complex topology structures can now be efficiently and accurately fabricated by stacking layered materials.The novel manufacturing technology and application background put forward new demands and challenges to the current design methodologies of complex topology structures.In this paper,a brief review on the development of recent complex topology structure design methods was provided;meanwhile,the limitations of existing methods and future work are also discussed in the end.展开更多
Complicated mechanical products normally consist of multi-parameter mechanisms.The couplings between two tmechanisms are either strong or weak.The traditional optimal design methods cannot meet the requirements of opt...Complicated mechanical products normally consist of multi-parameter mechanisms.The couplings between two tmechanisms are either strong or weak.The traditional optimal design methods cannot meet the requirements of optimal structural design of the complicated multi-parameter mechanical products.On the basis of analyzing the optimal design methods and the data mining principles,an improved iterative dichotomizer 3(ID3) algorithm is hereby put forth to bring out an optimal design information model integrated with the data mining technology as well as an optimal structural design system of complicated mechanical products based on the data mining principles.The system is demonstrated by the optimal structural design of the mainframe of the full face rock tunnel boring machine(TBM).An example shows that the data mining technology has fully tackled the issues of the optimal structural design of complicated mechanical products.展开更多
Computational simulations can accelerate the design and modelling of origami robots and mechanisms.This paper presents a computational method using algorithms developed in Python to generate different tessellated orig...Computational simulations can accelerate the design and modelling of origami robots and mechanisms.This paper presents a computational method using algorithms developed in Python to generate different tessellated origami crease patterns simultaneously.This paper aims to automate this process by introducing a system that automatically generates origami crease patterns in Scalable Vector Graphics format.By introducing different parameters,variations of the same underlying tessellated crease pattern can be obtained.The user interface consists of an input file where the user can input the desired parameters,which are then processed by an algorithm written in Python to generate the respective origami 2D crease patterns.These origami crease patterns can serve as inputs to current origami design software and algorithms to generate origami design models for faster and easier visual comparison.This paper utilizes a basic biomimetic inspiration origami pattern to demonstrate the functionality by varying underlying crease pattern parameters that give rise to symmetric and asymmetric spring origami 3D structures.Furthermore,this paper conducts a qualitative analysis of the origami design outputs of an origami simulator from the input crease patterns and the respective manual folding of the origami structure.展开更多
The main aim of this work is to understand the distribution of minerals by obtaining a shallow velocity structure around the Karatungk（喀拉通克） region.Data were acquired in 2009 by a denser array in deploying a tra...The main aim of this work is to understand the distribution of minerals by obtaining a shallow velocity structure around the Karatungk（喀拉通克） region.Data were acquired in 2009 by a denser array in deploying a transportable seismometer with 4.5 Hz vertical geophone.All the P-wave arrival times are picked automatically with Akaike information criterion,and then checked man-machine interactively by short-receiver geometry.The database for local active-source tomographic in-version involves 4 241 P-wave arrival time readings from 96 shots and three quarry blasts.Checker-board tests aimed at checking the reliability of the obtained velocity models are presented.The result-ing Vp distribution slices show a complicated 3-D structure beneath this area and offer a better under-standing of three well-defined mineral deposits.Near the surface we observe a series of zones with slightly high-velocity which probably reflect potential deposits.Based on features of metallic ores we attempt to delimit their distributions and stretched directions.展开更多
High-performance batteries are poised for electrification of vehicles and therefore mitigate greenhouse gas emissions,which,in turn,promote a sustainable future.However,the design of optimized batteries is challenging...High-performance batteries are poised for electrification of vehicles and therefore mitigate greenhouse gas emissions,which,in turn,promote a sustainable future.However,the design of optimized batteries is challenging due to the nonlinear governing physics and electrochemistry.Recent advancements have demonstrated the potential of deep learning techniques in efficiently designing batteries,particularly in optimizing electrodes and electrolytes.This review provides comprehensive concepts and principles of deep learning and its application in solving battery-related electrochemical problems,which bridges the gap between artificial intelligence and electrochemistry.We also examine the potential challenges and opportunities associated with different deep learning approaches,tailoring them to specific battery requirements.Ultimately,we aim to inspire future advancements in both fundamental scientific understanding and practical engineering in the field of battery technology.Furthermore,we highlight the potential challenges and opportunities for different deep learning methods according to the specific battery demand to inspire future advancement in fundamental science and practical engineering.展开更多
文摘The wing, one of the most important parts of aircraft, always requires sophis-ticated design to increase lift, reduce drag and weight. For modern fixed-wing UAV, extending cruising time is always a requirement for the overall design. Designing a most light wing that can match the requirements of work condi-tions is desired. In this work, according to the work conditions, we compare several types of wing and chose beam-type wing. Then we made the detailed design and optimization to reduce the weight of wing. At last, we draw the 3D model for potential realistic production.
基金supported by Science Fund for Creative Research Groups of National Natural Science Foundation of China(No.51521064)the National Nature Science Foundation of China(No.51575483).
文摘As a matter of fact,most natural structures are complex topology structures with intricate holes or irregular surface morphology.These structures can be used as lightweight infill,porous scaffold,energy absorber or micro-reactor.With the rapid advancement of 3D printing,the complex topology structures can now be efficiently and accurately fabricated by stacking layered materials.The novel manufacturing technology and application background put forward new demands and challenges to the current design methodologies of complex topology structures.In this paper,a brief review on the development of recent complex topology structure design methods was provided;meanwhile,the limitations of existing methods and future work are also discussed in the end.
基金the 10th Five Years National Key Technical Equipment Development Project of China(No. ZZ02-03-03-01)
文摘Complicated mechanical products normally consist of multi-parameter mechanisms.The couplings between two tmechanisms are either strong or weak.The traditional optimal design methods cannot meet the requirements of optimal structural design of the complicated multi-parameter mechanical products.On the basis of analyzing the optimal design methods and the data mining principles,an improved iterative dichotomizer 3(ID3) algorithm is hereby put forth to bring out an optimal design information model integrated with the data mining technology as well as an optimal structural design system of complicated mechanical products based on the data mining principles.The system is demonstrated by the optimal structural design of the mainframe of the full face rock tunnel boring machine(TBM).An example shows that the data mining technology has fully tackled the issues of the optimal structural design of complicated mechanical products.
基金supported by the Chinese University of Hong Kong(CUHK)Direct Grant(4055139)for a research project on Multiphysics Study of Magnetically Deployable Robotic Collapsible Structures.
文摘Computational simulations can accelerate the design and modelling of origami robots and mechanisms.This paper presents a computational method using algorithms developed in Python to generate different tessellated origami crease patterns simultaneously.This paper aims to automate this process by introducing a system that automatically generates origami crease patterns in Scalable Vector Graphics format.By introducing different parameters,variations of the same underlying tessellated crease pattern can be obtained.The user interface consists of an input file where the user can input the desired parameters,which are then processed by an algorithm written in Python to generate the respective origami 2D crease patterns.These origami crease patterns can serve as inputs to current origami design software and algorithms to generate origami design models for faster and easier visual comparison.This paper utilizes a basic biomimetic inspiration origami pattern to demonstrate the functionality by varying underlying crease pattern parameters that give rise to symmetric and asymmetric spring origami 3D structures.Furthermore,this paper conducts a qualitative analysis of the origami design outputs of an origami simulator from the input crease patterns and the respective manual folding of the origami structure.
基金supported by the National Natural Science Foundation of China (No. 40730317)National Basic Research Program of China (No. 2007CB411300)
文摘The main aim of this work is to understand the distribution of minerals by obtaining a shallow velocity structure around the Karatungk（喀拉通克） region.Data were acquired in 2009 by a denser array in deploying a transportable seismometer with 4.5 Hz vertical geophone.All the P-wave arrival times are picked automatically with Akaike information criterion,and then checked man-machine interactively by short-receiver geometry.The database for local active-source tomographic in-version involves 4 241 P-wave arrival time readings from 96 shots and three quarry blasts.Checker-board tests aimed at checking the reliability of the obtained velocity models are presented.The result-ing Vp distribution slices show a complicated 3-D structure beneath this area and offer a better under-standing of three well-defined mineral deposits.Near the surface we observe a series of zones with slightly high-velocity which probably reflect potential deposits.Based on features of metallic ores we attempt to delimit their distributions and stretched directions.
文摘High-performance batteries are poised for electrification of vehicles and therefore mitigate greenhouse gas emissions,which,in turn,promote a sustainable future.However,the design of optimized batteries is challenging due to the nonlinear governing physics and electrochemistry.Recent advancements have demonstrated the potential of deep learning techniques in efficiently designing batteries,particularly in optimizing electrodes and electrolytes.This review provides comprehensive concepts and principles of deep learning and its application in solving battery-related electrochemical problems,which bridges the gap between artificial intelligence and electrochemistry.We also examine the potential challenges and opportunities associated with different deep learning approaches,tailoring them to specific battery requirements.Ultimately,we aim to inspire future advancements in both fundamental scientific understanding and practical engineering in the field of battery technology.Furthermore,we highlight the potential challenges and opportunities for different deep learning methods according to the specific battery demand to inspire future advancement in fundamental science and practical engineering.
