Research Progress of Laser Assisted Liquid Compound Machining

2011 ◽  
Vol 189-193 ◽  
pp. 3750-3754 ◽  
Author(s):  
Gen Fu Yuan ◽  
Wei Zheng ◽  
Xue Hui Chen ◽  
Yu Ping Ma

Laser combined machining is a complex machining method which utilizes the combined effect of various forms of energy to achieve a material processing. High manufacturing quality and surface accuracy, and machining efficiency can be achieved. The research progress in the area of laser combined other machine processes is reviewed. Several methods of laser combined machining are introduced and their characteristics and applications from the point of the laser assisted liquid machining are investigated. For example, laser assisted wet etching and laser assisted jet electrochemical machining, and waterjet-guided laser machining are reported. The experimental and theoretical studies of the technologies to improve the machining performance are discussed. Finally, the existing problems and the future research directions of the laser compound processing are put forward .

Author(s):  
Kholekile L. Gwebu ◽  
Jing Wang

This chapter highlights the promise and importance of reverse multi-attribute auctions (RMAA). It outlines the major benefits of RMAAs over other traditional auction mechanisms, such as reverse single attribute auctions, and then presents a structured and critical assessment of the current state of RMAA research. The intention of this chapter is not only to review both experimental and theoretical studies that have been conducted on RMAAs, but also to provide a starting point and specific recommendations for future research directions on RMAAs.


2021 ◽  
Vol 1036 ◽  
pp. 20-31
Author(s):  
Jun Jie Ye ◽  
Zhi Rong He ◽  
Kun Gang Zhang ◽  
Yu Qing Du

Ti-Ni based shape memory alloys (SMAs) are of excellent shape memory effect, superelasticity and damping property. These properties of the alloys can be fully displayed only after proper heat treatment. In this paper, the research progresses of the effect of the heat treatment on the microstructure, phase composition, phase transformation behaviors and shape memory properties in Ti-Ni based SMAs are reviewed, the correlation influence mechanism is summarized, and the future research directions in this field are pointed out. It is expected to provide reference for the development of Ti-Ni based SMAs and their heat treatment technologies.


2018 ◽  
Vol 6 (40) ◽  
pp. 10672-10686 ◽  
Author(s):  
Qing Zhang ◽  
Huanli Dong ◽  
Wenping Hu

This article places special focus on the recent research progress of the EP method in synthesizing CPs. In particular, their potential applications as 2D CPs are summarized, with a basic introduction of the EP method, its use in synthesizing CPs as well as the promising applications of the obtained CPs in different fields. Discussions of current challenges in this field and future research directions are also given.


2019 ◽  
Vol 90 (5-6) ◽  
pp. 710-727 ◽  
Author(s):  
Yiwei Ouyang ◽  
Xianyan Wu

In order to review the most effective ways to improve the mechanical properties of composite T-beams and further increase their application potential, research progress on the mechanical properties of textile structural composite T-beams was summarized based on two-dimensional (2-D) ply structure composite T-beams, delamination resistance enhanced 2-D ply structure T-beams, and three-dimensional (3-D) textile structural composite T-beams; future research directions for composite T-beams were also considered. From existing literature, the research status and application bottlenecks of 2-D ply structure composite T-beams and T-beams with enhanced delamination resistance performance were described, as were the specific classification, research progress, and mechanical properties of 3-D textile structural composite T-beams. In addition, the superior mechanical properties of 3-D braided textile structural composite T-beams, specifically their application potential based on excellent delamination resistance capacity, were highlighted. Future research directions for composite T-beams, that is, the applications of high-performance raw materials, locally enhanced design, structural blending enhancement, functionality, and intelligence are presented in this review.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Huixin Wu ◽  
Feng Wang

Zero knowledge proof system which has received extensive attention since it was proposed is an important branch of cryptography and computational complexity theory. Thereinto, noninteractive zero knowledge proof system contains only one message sent by the prover to the verifier. It is widely used in the construction of various types of cryptographic protocols and cryptographic algorithms because of its good privacy, authentication, and lower interactive complexity. This paper reviews and analyzes the basic principles of noninteractive zero knowledge proof system, and summarizes the research progress achieved by noninteractive zero knowledge proof system on the following aspects: the definition and related models of noninteractive zero knowledge proof system, noninteractive zero knowledge proof system of NP problems, noninteractive statistical and perfect zero knowledge, the connection between noninteractive zero knowledge proof system, interactive zero knowledge proof system, and zap, and the specific applications of noninteractive zero knowledge proof system. This paper also points out the future research directions.


2012 ◽  
Vol 550-553 ◽  
pp. 284-291
Author(s):  
Ya Hong Li ◽  
Yu Qin Zhu

Unsupported MoS2hydrodesulfurization(HDS) catalysts is sulfide in its original state, so there is no need to add toxic sulfur compounds to presulfurize the hydrogenation catalyst, which has ultra-high capacity to HDS and causing attentions. This paper focuses on summarizing the preparation, characterization and desulfurization mechanism of unsupported nano MoS2catalyst and provides its future research directions.


2020 ◽  
Vol 143 ◽  
pp. 02027
Author(s):  
Zhao Bin ◽  
Cheng Yongqiang ◽  
Guo Cuilian ◽  
Liu Maoke ◽  
Yao Puyu ◽  
...  

Microplastics are attracting more and more attention as a new type of pollutant in the ecological environment. Microplastics are difficult to degrade because of their unique physical and chemical properties. Some microplastics adsorbed toxic chemicals (e.g. heavy metals or organic pollutants) will cause a series of toxicological effects in organisms. This paper summarized the research progress in microplastics from the aspects of the types, distribution, detection and the toxicological effects. In addition, future research directions were also proposed and discussed.


2021 ◽  
Vol 11 (12) ◽  
pp. 5725
Author(s):  
Anbesh Jamwal ◽  
Rajeev Agrawal ◽  
Monica Sharma ◽  
Antonio Giallanza

Recent developments in manufacturing processes and automation have led to the new industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain which includes: data management, manufacturing competitiveness, production processes and efficiency. The term Industry 4.0 includes a variety of key enabling technologies i.e., cyber physical systems, Internet of Things, artificial intelligence, big data analytics and digital twins which can be considered as the major contributors to automated and digital manufacturing environments. Sustainability can be considered as the core of business strategy which is highlighted in the United Nations (UN) Sustainability 2030 agenda and includes smart manufacturing, energy efficient buildings and low-impact industrialization. Industry 4.0 technologies help to achieve sustainability in business practices. However, very limited studies reported about the extensive reviews on these two research areas. This study uses a systematic literature review approach to find out the current research progress and future research potential of Industry 4.0 technologies to achieve manufacturing sustainability. The role and impact of different Industry 4.0 technologies for manufacturing sustainability is discussed in detail. The findings of this study provide new research scopes and future research directions in different research areas of Industry 4.0 which will be valuable for industry and academia in order to achieve manufacturing sustainability with Industry 4.0 technologies.


2021 ◽  
Vol 2079 (1) ◽  
pp. 012029
Author(s):  
Xueyuan Liu

Abstract The process of using CNN (Convolutional Neural Network) to blend the contents of a picture with different styles is called neural style transfer (NST). The purpose of this paper is to introduce current progress of NST, and introduce in detail the classification of the main NST algorithms based on deep learning, and make qualitative and quantitative comparisons of different algorithms, and then analyze the application prospects of image style migration in related fields, and finally summarize the existing problems and future research directions of NST.


Catalysts ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 972
Author(s):  
Kesong Yang ◽  
Ying Dai ◽  
Baibiao Huang

TiO2 has extensive applications in the fields of renewable energy and environmental protections such as being used as photocatalysts or electron transport layers in solar cells. To achieve highly efficient photocatalytic and photovoltaic applications, ongoing efforts are being devoted to developing novel TiO2-based material structures or compositions, in which a first-principles computational approach is playing an increasing role. In this review article, we discuss recent computational and theoretical studies of structural, energetic, electronic, and optical properties of TiO2-based nanocluster, bulk, and material interface for photocatalytic and photovoltaic applications. We conclude the review with a discussion of future research directions in the field.


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