scholarly journals Status, issues, and future of computer-aided part orientation for additive manufacturing

2021 ◽  
Author(s):  
Yuchu Qin ◽  
Qunfen Qi ◽  
Peizhi Shi ◽  
Paul J. Scott ◽  
Xiangqian Jiang
Keyword(s):  
Additive Manufacturing ◽  
Objective Function ◽  
Future Research ◽  
Research Directions ◽  
Computer Aided ◽  
Future Research Directions ◽  
The Common ◽  
Part Orientation

AbstractPart orientation is a critical task in the process of additive manufacturing product realisation. Recently, various computer-aided methods for this task have been presented in the literature. The coexistence of different methods generates a series of questions: What are the common characteristics of these methods? What are the specific characteristics of each method? What are the main issues in computer-aided part orientation for additive manufacturing currently? What are the potential research directions in this field in the future? To approach these questions, a review of the existing computer-aided part orientation methods for additive manufacturing is presented in this paper. This review starts with a clarification of a part orientation problem and a classification of the existing methods into two categories according to their process of solving the problem. An overview of the representative methods in each category is then carried out from the aspects of approaches for orientation search, generation, or selection, estimation of build orientation factors, determination of weights of factors, establishment of overall objective function, and demonstration of effectiveness. After that, a discussion about the main issues in computer-aided part orientation for additive manufacturing is documented based on the overview. Finally, a suggestion of some future research directions in this field is reported.

scholarly journals Perfume and Flavor Engineering: A Chemical Engineering Perspective

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3095
Author(s):  
Alírio E. Rodrigues ◽  
Idelfonso Nogueira ◽  
Rui P.V. Faria
Keyword(s):  
Diffusion Model ◽  
Chemical Engineering ◽  
Reaction Engineering ◽  
Ternary Diagram ◽  
Future Research ◽  
Performance Parameters ◽  
Liquid Equilibrium ◽  
Research Directions ◽  
Future Research Directions

In the last two decades, scientific methodologies for the prediction of the design, performance and classification of fragrance mixtures have been developed at the Laboratory of Separation and Reaction Engineering. This review intends to give an overview of such developments. It all started with the question: what do we smell? The Perfumery Ternary Diagram enables us to determine the dominant odor for each perfume composition. Evaporation and 1D diffusion model is analyzed based on vapor-liquid equilibrium and Fick’s law for diffusion giving access to perfume performance parameters. The effect of matrix and skin is addressed and the trail of perfumes analyzed. Classification of perfumes with the perfumery radar is discussed. The methodology is extended to flavor and taste engineering. Finally, future research directions are suggested.

The Environmental Impacts of Metal Powder Bed Additive Manufacturing

2020 ◽  
Vol 143 (3) ◽  
Author(s):  
Jiankan Liao ◽  
Daniel R. Cooper
Keyword(s):  
Additive Manufacturing ◽  
Environmental Impacts ◽  
Metal Powder ◽  
Future Research ◽  
Research Directions ◽  
Powder Bed ◽  
Direct Energy ◽  
Potential Benefits ◽  
Future Research Directions ◽  
Am Processes

Abstract Additive manufacturing (AM) is widely recognized as a critical pillar of advanced manufacturing and is moving from the design shop to the factory floor. As AM processes become more popular, it is paramount that engineers and policymakers understand and then reduce their environmental impacts. This article structures the current work on the environmental impacts of metal powder bed processes: selective laser melting (SLM), direct metal laser sintering (DMLS), electron beam melting (EBM), and binder jetting (BJ). We review the potential benefits and pitfalls of AM in each phase of a part's lifecycle and in different application domains (e.g., remanufacturing and hybrid manufacturing). We highlight critical uncertainties and future research directions throughout. The environmental impacts of AM are sensitive to the specific production and use-phase context; however, several broad lessons can be extracted from the literature. Unlike in conventional manufacturing, powder bed production impacts are dominated by the generation of the direct energy (electricity) required to operate the AM machines. Combined with a more energy-intensive feedstock (metal powder), this means that powder bed production impacts are higher than in conventional manufacturing unless production volumes are very small (saving tool production impacts), and/or there are significant material savings through part light weighting or improved buy-to-fly ratios.

Barriers to the Success of Total Quality Management Implementation in Vietnam's Textile and Garment Companies

2019 ◽  
Vol 10 (3) ◽  
pp. 57-73
Author(s):  
Emmanuel (Manos) Kalargiros ◽  
Cindy Strickler ◽  
Long Pham ◽  
Thomas DeNardin ◽  
Tatyana N Coomer
Keyword(s):  
Quality Management ◽  
Service Quality ◽  
Total Quality Management ◽  
Future Research ◽  
Total Quality ◽  
Research Directions ◽  
The World ◽  
Managerial Implications ◽  
Future Research Directions ◽  
The Common

Vietnam is classified as one of the five largest textile and garment exporters in the world. With its ambition to engage more effectively in the global textile and garment supply chains, Vietnam's textile and garment enterprises have been implementing total quality management (TQM) programs in order to improve their product and service quality. However, many of Vietnam's textile and garment enterprises are facing barriers to successful TQM implementation. The objective of this study is to empirically examine these barriers to TQM faced by Vietnam's textile and garment enterprises and to compare the results with previous studies conducted with U.S. and Mexican businesses. The results of this study indicate five barriers to Vietnam's textile and garment enterprises' successful TQM implementation. Among these five barriers, the common barrier shared by Vietnamese, US and Mexican businesses is that employees are resistant to change. Managerial implications and future research directions are discussed.

scholarly journals Chemically modified electrodes with MOFs for the determination of inorganic and organic analytes via voltammetric techniques: a critical review

2019 ◽  
Vol 6 (12) ◽  
pp. 3440-3455 ◽  
Author(s):  
Anastasia D. Pournara ◽  
Georgios D. Tarlas ◽  
Giannis S. Papaefstathiou ◽  
Manolis J. Manos
Keyword(s):  
Modified Electrodes ◽  
Current Status ◽  
Future Research ◽  
Research Directions ◽  
Organic Species ◽  
Chemically Modified ◽  
Voltammetric Techniques ◽  
Future Research Directions ◽  
Organic Analytes

Current status on MOF-modified electrodes for voltammetric analyses of inorganic/organic species is critically discussed. We provide future research directions and specific criteria that MOFs should satisfy prior to their use as electrode modifiers.

Microstructure, Mechanical and Corrosion Behavior of Additively Manufactured Steel: A Review (Part 1)

2020 ◽  
Vol 62 (5) ◽  
pp. 503-516
Author(s):  
Emel Taban ◽  
Olatunji Oladimeji Ojo
Keyword(s):  
Additive Manufacturing ◽  
Future Research ◽  
Research Directions ◽  
Novel Technology ◽  
Current State ◽  
Future Research Directions ◽  
Modern Manufacturing ◽  
Mechanical Properties And Corrosion ◽  
Manufacturing Technologies ◽  
Insight Into

Abstract Flexible and digital manufacturing technologies like additive manufacturing (AM) have evolved as the future of modern manufacturing with the capability of obtaining multi-dimensional components and material functionality improvement. In the past decade, the additive manufacturing of steel has advanced into an effective approach for controlling local microstructure and fabricating hybrid build with tailored performance. As an emerging technology, there are still some challenges in the additive manufacturing of steel that need to be circumvented in order to attain the full potentials of this novel technology. This review paper examines the current state of additively manufactured steel as well as the associated microstructure, mechanical properties, and corrosion of as-built steel. An insight into further and future research directions is provided.

The Environmental Impacts of Metal Powder Bed Additive Manufacturing

2020 ◽  
Author(s):  
Jiankan Liao ◽  
Daniel R. Cooper
Keyword(s):  
Additive Manufacturing ◽  
Environmental Impacts ◽  
Metal Powder ◽  
Future Research ◽  
Research Directions ◽  
Powder Bed ◽  
Direct Energy ◽  
Potential Benefits ◽  
Future Research Directions ◽  
Am Processes

Abstract Additive manufacturing (AM) is widely recognized as a critical pillar of advanced manufacturing and is moving from the design shop to the factory floor. As AM processes become more popular, it is paramount that engineers and policymakers understand and then reduce their environmental impacts. This article structures the current work on the environmental impacts of metal powder bed processes: selective laser melting (SLM), direct metal laser sintering (DMLS), electron beam melting (EBM), and binder jetting (BJ). We review the potential benefits and pitfalls of AM in each phase of a part’s lifecycle and in different application domains (e.g., remanufacturing, hybrid manufacturing etc.). We highlight critical uncertainties and future research directions throughout. The environmental impacts of AM are sensitive to the specific production and use-phase context; however, several broad lessons can be extracted from the literature. Unlike in conventional manufacturing, powder bed production impacts are dominated by the generation of the direct energy (electricity) required to operate the AM machines. Combined with a more energy-intensive feedstock (metal powder) this means that powder bed production impacts are higher than in conventional manufacturing unless production volumes are very small (saving tool production impacts) and/or there are significant material savings through part light weighting or improved buy-to-fly ratios.

scholarly journals Research on Neural Style Transfer

2021 ◽  
Vol 2079 (1) ◽  
pp. 012029
Author(s):  
Xueyuan Liu
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Future Research ◽  
Research Directions ◽  
Style Transfer ◽  
Qualitative And Quantitative ◽  
Existing Problems ◽  
Future Research Directions ◽  
Application Prospects

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.

scholarly journals A Review of Blockchain Architecture and Consensus Protocols: Use Cases, Challenges, and Solutions

2019 ◽  
Author(s):  
Leila Ismail ◽  
Huned Materwala
Keyword(s):  
Smart Cities ◽  
Distributed Databases ◽  
Distributed Applications ◽  
Future Research ◽  
Research Directions ◽  
Blockchain Technology ◽  
Digital Ecosystem ◽  
Smart Healthcare ◽  
Future Research Directions

ver the last decade the blockchain technology has emerged to provide solutions to the complexity, performance and privacy challenges of using distributed databases. Over this time, the concept of blockchain has shifted greatly due to the rapidly evolving distributed applications in a collaborative ecosystem such as smart cities, social networking, governance, and smart healthcare, and the ultimate need for green computing, cost reduction for customers, and business growth for enterprises. Consequently, blockchain architecture has misaligned with the goals for a green collaborative digital ecosystem. Therefore, it becomes critical to address this vent and to build new frameworks to align blockchain with those goals. In this paper, we discuss the evolution of blockchain architecture and its consensus protocols, bringing a retrospective analysis and discussing the rationale of the evolution of the various architectures and protocols, as well as capturing the assumptions conducting to their development and contributions to building collaborative applications. We introduce a classification of those architectures and provide insights for future research directions in the field.

Methods and Techniques of Data Mining

2021 ◽  
pp. 749-767
Author(s):  
Ana Funes ◽  
Aristides Dasso
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Research And Development ◽  
Knowledge Acquisition ◽  
Future Research ◽  
Research Directions ◽  
New Methods ◽  
Methods And Techniques ◽  
Future Research Directions

Nowadays, there is an increasing number of applications where artificial intelligence has fuelled the research and development of new methods, techniques, and tools related to knowledge acquisition and data mining. The development of data mining and other related disciplines has benefited from the existence of large volumes of data proceeding from the most diverse sources and domains. KDD process and methods of data mining allows for the discovery of knowledge in data that is hidden to humans, presenting this knowledge under different ways. In this chapter, the relation of data mining with other disciplines is analyzed, an overview of data mining tasks and methods is presented, and also a possible classification of them is given. Finally, a brief discussion on issues associated to the discipline and future research directions are also given.

Bank Branch Efficiency with DEA

2015 ◽  
pp. 626-667 ◽  
Author(s):  
Mehmet Hasan Eken ◽  
Süleyman Kale
Keyword(s):  
Future Research ◽  
Extensive Literature ◽  
Data Envelopment ◽  
Literature Analysis ◽  
Research Directions ◽  
Bank Branches ◽  
Improvement Strategies ◽  
Future Research Directions ◽  
Different Dimensions

In this chapter, the extent of inefficiency of bank branches in different dimensions is evaluated with slack-based model of data envelopment analysis. Each efficiency dimension reveals the strengths, weaknesses, and improvement capabilities of branches. Multi-dimensional comparison enables the determination of the overall characteristics and the choice of the improvement strategies accordingly. An extensive literature analysis of bank branches and future research directions is also presented.

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