Mask Image Planning for Deformation Control in Projection-Based Stereolithography Process

2015 ◽  
Vol 137 (3) ◽  
Author(s):  
Kai Xu ◽  
Yong Chen
Keyword(s):  
Computer Aided Design ◽  
Low Cost ◽  
Planning Method ◽  
Future Research ◽  
Research Directions ◽  
Deformation Control ◽  
Advantages And Disadvantages ◽  
3D Printers ◽  
Future Research Directions ◽  
Aided Design

The mask-image-projection-based stereolithography process (MIP-SL) using a digital micromirror device (DMD) is an area-processing-based additive manufacturing (AM) process. In the MIP-SL process, a set of mask images are dynamically projected onto a resin surface to selectively cure liquid resin into layers of an object. Consequently, the MIP-SL process can be faster with a lower cost than the laser-based stereolithography apparatus (SLA) process. Currently an increasing number of companies are developing low-cost 3D printers based on the MIP-SL process. However, current commercially available MIP-SL systems are mostly based on Acrylate resins, which have larger shrinkages when compared to epoxy resins used in the laser-based SLA process. Consequently, controlling the shrinkage-related shape deformation in the MIP-SL process is challenging. In this research, we evaluate different mask image exposing strategies for building part layers and their effects on the deformation control in the MIP-SL process. Accordingly, a mask image planning method and related algorithms have been developed for a given computer-aided design (CAD) model. The planned mask images have been tested by using a commercial MIP-SL machine. The experimental results illustrate that our method can effectively reduce the deformation by as much as 32%. A discussion on the advantages and disadvantages of the mask image planning method and future research directions are also presented.

scholarly journals Challenges and Opportunities in Robotic Food Handling: A Review

2022 ◽  
Vol 8 ◽  
Author(s):  
Zhongkui Wang ◽  
Shinichi Hirai ◽  
Sadao Kawamura
Keyword(s):  
Low Cost ◽  
Food Products ◽  
Future Research ◽  
Food Handling ◽  
Research Directions ◽  
Fundamental Information ◽  
Food Recognition ◽  
Challenges And Opportunities ◽  
Future Research Directions ◽  
End Effectors

Despite developments in robotics and automation technologies, several challenges need to be addressed to fulfill the high demand for automating various manufacturing processes in the food industry. In our opinion, these challenges can be classified as: the development of robotic end-effectors to cope with large variations of food products with high practicality and low cost, recognition of food products and materials in 3D scenario, better understanding of fundamental information of food products including food categorization and physical properties from the viewpoint of robotic handling. In this review, we first introduce the challenges in robotic food handling and then highlight the advances in robotic end-effectors, food recognition, and fundamental information of food products related to robotic food handling. Finally, future research directions and opportunities are discussed based on an analysis of the challenges and state-of-the-art developments.

Mask Image Planning for Deformation Control in Projection-Based Stereolithography Process

2012 ◽  
Author(s):  
Kai Xu ◽  
Yong Chen
Keyword(s):  
Epoxy Resins ◽  
Lower Cost ◽  
Shape Deformation ◽  
Future Research ◽  
Test Results ◽  
Digital Micromirror Device ◽  
Research Directions ◽  
Deformation Control ◽  
Size Accuracy ◽  
Future Research Directions

In this research, we investigate the shrinkage related deformation control for a mask-image-projection-based Stereolithography process (MIP-SL). Based on a Digital Micromirror Device (DMD), MIP-SL uses an area-processing approach by dynamically projecting mask images onto a resin surface to selectively cure liquid resin into layers of an object. Consequently, the related additive manufacturing process can be much faster with a lower cost than the laser-based Stereolithography Apparatus (SLA) process. However, current commercially available MIP-SL systems are based on Acrylate resins, which have bigger shrinkages than epoxy resins that are widely used in the SLA process. Consequently controlling size accuracy and shape deformation in the MIP-SL process is challenging. To address the problem, we evaluate different image exposing strategies for projection mask images. A mask image planning method and related algorithms have been developed for the MIP-SL process. The planned mask images have been tested by using a commercial MIP-SL machine. The experimental results illustrate that our method can effectively reduce the deformation by as much as 32%. A discussion on the test results and future research directions are also presented.

scholarly journals Internet of Things (IoT) Operating Systems Management: Opportunities, Challenges, and Solution

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1793 ◽  
Author(s):  
Yousaf Bin Zikria ◽  
Sung Won Kim ◽  
Oliver Hahm ◽  
Muhammad Khalil Afzal ◽  
Mohammed Y. Aalsalem
Keyword(s):  
Internet Of Things ◽  
Low Cost ◽  
Future Research ◽  
Technological Innovations ◽  
Special Issue ◽  
Research Directions ◽  
Key Factor ◽  
Future Research Directions ◽  
Standard Set

Internet of Things (IoT) is rapidly growing and contributing drastically to improve the quality of life. Immense technological innovations and growth is a key factor in IoT advancements. Readily available low cost IoT hardware is essential for continuous adaptation of IoT. Advancements in IoT Operating System (OS) to support these newly developed IoT hardware along with the recent standards and techniques for all the communication layers are the way forward. The variety of IoT OS availability demands to support interoperability that requires to follow standard set of rules for development and protocol functionalities to support heterogeneous deployment scenarios. IoT requires to be intelligent to self-adapt according to the network conditions. In this paper, we present brief overview of different IoT OSs, supported hardware, and future research directions. Therein, we provide overview of the accepted papers in our Special Issue on IoT OS management: opportunities, challenges, and solution. Finally, we conclude the manuscript.

scholarly journals A Review of the State of the Art in Non-Contact Sensing for COVID-19

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5665
Author(s):  
William Taylor ◽  
Qammer H. Abbasi ◽  
Kia Dashtipour ◽  
Shuja Ansari ◽  
Syed Aziz Shah ◽  
...  
Keyword(s):  
Healthcare Workers ◽  
State Of The Art ◽  
Future Research ◽  
Research Directions ◽  
Advantages And Disadvantages ◽  
Non Invasive ◽  
Current State ◽  
Global Pandemic ◽  
Future Research Directions ◽  
Contact Sensing

COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no approved vaccination or treatment, governments around the world have issued guidance to their citizens to remain at home in efforts to control the spread of the disease. The goal of controlling the spread of the virus is to prevent strain on hospitals. In this paper, we focus on how non-invasive methods are being used to detect COVID-19 and assist healthcare workers in caring for COVID-19 patients. Early detection of COVID-19 can allow for early isolation to prevent further spread. This study outlines the advantages and disadvantages and a breakdown of the methods applied in the current state-of-the-art approaches. In addition, the paper highlights some future research directions, which need to be explored further to produce innovative technologies to control this pandemic.

Study on Decoration System Based on Computer Aided Design

2014 ◽  
Vol 568-570 ◽  
pp. 1569-1572
Author(s):  
Jun Liu
Keyword(s):  
Interface Design ◽  
Computer Aided Design ◽  
Design System ◽  
Future Research ◽  
Decorative Art ◽  
Computer Aided ◽  
Decorative Material ◽  
Future Research Directions ◽  
Material Library ◽  
Aided Design

This paper focuses on the use of computer-aided design system design decorative material library, study the specific programs to improve system efficiency and simplify the user's operation, focusing on the part of the interface design. Finally, we summed up the prospects and applications decorative art computer-aided design systems, and analysis of the current shortcomings and future research directions of the program.

Modular Reconfigurable Robotics

2019 ◽  
Vol 2 (1) ◽  
pp. 63-88 ◽  
Author(s):  
Jungwon Seo ◽  
Jamie Paik ◽  
Mark Yim
Keyword(s):  
State Of The Art ◽  
Low Cost ◽  
Future Research ◽  
Research Directions ◽  
Current State ◽  
Robot Systems ◽  
Technical Issues ◽  
Future Research Directions ◽  
Reconfigurable Robot ◽  
High Level

This article reviews the current state of the art in the development of modular reconfigurable robot (MRR) systems and suggests promising future research directions. A wide variety of MRR systems have been presented to date, and these robots promise to be versatile, robust, and low cost compared with other conventional robot systems. MRR systems thus have the potential to outperform traditional systems with a fixed morphology when carrying out tasks that require a high level of flexibility. We begin by introducing the taxonomy of MRRs based on their hardware architecture. We then examine recent progress in the hardware and the software technologies for MRRs, along with remaining technical issues. We conclude with a discussion of open challenges and future research directions.

scholarly journals Ensuring the Correctness of Regular Expressions: A Review

2021 ◽  
Author(s):  
Li-Xiao Zheng ◽  
Shuai Ma ◽  
Zu-Xi Chen ◽  
Xiang-Yu Luo
Keyword(s):  
Future Research ◽  
Regular Expressions ◽  
Automatic Synthesis ◽  
Research Directions ◽  
Practical Applications ◽  
Advantages And Disadvantages ◽  
Correct Usage ◽  
Study Test ◽  
Future Research Directions ◽  
Static Checking

AbstractRegular expressions are widely used within and even outside of computer science due to their expressiveness and flexibility. However, regular expressions have a quite compact and rather tolerant syntax that makes them hard to understand, hard to compose, and error-prone. Faulty regular expressions may cause failures of the applications that use them. Therefore, ensuring the correctness of regular expressions is a vital prerequisite for their use in practical applications. The importance and necessity of ensuring correct definitions of regular expressions have attracted extensive attention from researchers and practitioners, especially in recent years. In this study, we provide a review of the recent works for ensuring the correct usage of regular expressions. We classify those works into different categories, including the empirical study, test string generation, automatic synthesis and learning, static checking and verification, visual representation and explanation, and repairing. For each category, we review the main results, compare different approaches, and discuss their advantages and disadvantages. We also discuss some potential future research directions.

scholarly journals Software for Bioprinting

2020 ◽  
Vol 6 (3) ◽  
Author(s):  
Catherine Pakhomova ◽  
Dmitry Popov ◽  
Eugenii Maltsev ◽  
Iskander Akhatov ◽  
Alexander Pasko
Keyword(s):  
Computer Aided Design ◽  
Research Work ◽  
Three Dimensional ◽  
Software Tools ◽  
Primary Objective ◽  
Future Research ◽  
Three Dimensional Printing ◽  
Advantages And Disadvantages ◽  
Volume Modeling ◽  
Aided Design

The bioprinting of heterogeneous organs is a crucial issue. To reach the complexity of such organs, there is a need for highly specialized software that will meet all requirements such as accuracy, complexity, and others. The primary objective of this review is to consider various software tools that are used in bioprinting and to reveal their capabilities. The sub-objective was to consider different approaches for the model creation using these software tools. Related articles on this topic were analyzed. Software tools are classified based on control tools, general computer-aided design (CAD) tools, tools to convert medical data to CAD formats, and a few highly specialized research-project tools. Different geometry representations are considered, and their advantages and disadvantages are considered applicable to heterogeneous volume modeling and bioprinting. The primary factor for the analysis is suitability of the software for heterogeneous volume modeling and bioprinting or multimaterial three-dimensional printing due to the commonality of these technologies. A shortage of specialized suitable software tools is revealed. There is a need to develop a new application area such as computer science for bioprinting which can contribute significantly in future research work.

scholarly journals Machine learning approaches and databases for prediction of drug–target interaction: a survey paper

2020 ◽  
Author(s):  
Maryam Bagherian ◽  
Elyas Sabeti ◽  
Kai Wang ◽  
Maureen A Sartor ◽  
Zaneta Nikolovska-Coleska ◽  
...  
Keyword(s):  
Machine Learning ◽  
Drug Target ◽  
Future Research ◽  
Learning Approaches ◽  
Research Directions ◽  
Target Interaction ◽  
Survey Paper ◽  
Advantages And Disadvantages ◽  
Efficient Prediction ◽  
Future Research Directions

Abstract The task of predicting the interactions between drugs and targets plays a key role in the process of drug discovery. There is a need to develop novel and efficient prediction approaches in order to avoid costly and laborious yet not-always-deterministic experiments to determine drug–target interactions (DTIs) by experiments alone. These approaches should be capable of identifying the potential DTIs in a timely manner. In this article, we describe the data required for the task of DTI prediction followed by a comprehensive catalog consisting of machine learning methods and databases, which have been proposed and utilized to predict DTIs. The advantages and disadvantages of each set of methods are also briefly discussed. Lastly, the challenges one may face in prediction of DTI using machine learning approaches are highlighted and we conclude by shedding some lights on important future research directions.

Key Issues and Research Directions in Green Wireless Networking

2015 ◽  
pp. 6186-6194
Author(s):  
Konstantinos B. Baltzis
Keyword(s):  
Communication Networks ◽  
Low Cost ◽  
Wireless Networking ◽  
Future Research ◽  
Wireless Communication Networks ◽  
Research Directions ◽  
Current Trends ◽  
Key Issues ◽  
Future Research Directions ◽  
Ict Infrastructure

A significant part of worldwide energy is consumed by the ICT infrastructure with wireless sector to be among the main contributors to this consumption. As a result, the rising energy costs and increasing carbon footprint of operating wireless communication networks have generated a keen interest in the design and development of “green” networks, that is, networks characterized by energy efficiency, reduced CO2 emissions, and low cost deployment. In this article, we discuss current issues and trends in green wireless networking. We explain the motivation behind it, discuss basic principles, review current trends in the field, and highlight upcoming challenges and future research directions. The aforementioned issues have been treated in detail in the scientific literature. However, the present study overviews current and future trends in green wireless networking with focus on providing an insight into the field that will be useful not only for experts but for non-specialists also.

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