scholarly journals Computer-Based Multi-Layered Monitoring Systems on Textile Manufacturing Processes

2021 ◽  
Vol 1845 (1) ◽  
pp. 012023
Author(s):  
Achmad Prabowo Sitepu ◽  
Faiza Renaldi ◽  
Herdi Ashaury
Keyword(s):  
Monitoring Systems ◽  
Manufacturing Processes ◽  
Textile Manufacturing ◽  
Computer Based

scholarly journals A monitoring system for evaluation of COVID-19 infection risk

2021 ◽  
Vol 2069 (1) ◽  
pp. 012192
Author(s):  
Jevgenis Telicko ◽  
Daniels Dagis Vidulejs ◽  
Andris Jakovics
Keyword(s):  
Artificial Intelligence ◽  
Risk Evaluation ◽  
Medical Personnel ◽  
Infection Risk ◽  
Measured Data ◽  
Monitoring Systems ◽  
Risk Of Infection ◽  
Review Of The Literature ◽  
Indirect Measurements ◽  
Computer Based

Abstract Monitoring systems allow operators to accomplish the greatest comfort indoors, but, as a rule, the available parameters are not enough to analyse the epidemiological threat in buildings. Due to the pandemic and increasing incidence of the disease, there is a need for monitoring systems that can provide the necessary information to analyse the risk of infection. With timely notification of people about the risks, such a system could not only increase safety in buildings, but also save crucial resources such as the work of medical personnel. This paper presents an example of real-world implementation of a cheap and scalable system to indicate risks and inform people inside. To achieve this, an appropriate set of sensors and communication protocols was selected, and processing of indirect measurements with artificial intelligence (AI) algorithms was carried out on an embedded Jetson Nano computer. Based on the experiments and a review of the literature, the necessary parameters for measurements were selected. Detailed analysis of measured data for risk evaluation is provided in [1].

Virtual Prototyping of Die Design: Part One — Theory and Formulation

1995 ◽  
Author(s):  
David Wuerger ◽  
Rajit Gadh
Keyword(s):  
Virtual Prototyping ◽  
Die Design ◽  
Manufacturing Processes ◽  
Input System ◽  
Keyboard Input ◽  
Computer Based ◽  
Near Net Shape

Abstract An important step in the design of dies for near-net-shape manufacturing processes is the determination of the die-open direction. The current research provides a computer-based approach to automatically determine the set of possible die-open directions for a given part. Computer-synthesized die design is often referred to as “Virtual Prototyping”. It has been determined in this research that certain features, called concavity features on a part, restrict the directions along which the die for a part may open, and are therefore used to determine the set of all possible die-open directions for a given part. Once the possible die-open directions are determined, a designer or a keyboard input system may decide which of these directions are usable.

Case Studies to Understand the Relations Among Function, Form and Manufacturing Process for Integration of Process Planning Into Early Design Stage

1999 ◽  
Author(s):  
Yong Se Kim ◽  
Shaw C. Feng
Keyword(s):  
Case Studies ◽  
Process Planning ◽  
Design Stage ◽  
Manufacturing Processes ◽  
Functional Requirements ◽  
Process Selection ◽  
Early Assessment ◽  
Early Design ◽  
Early Design Stage ◽  
Computer Based

Abstract Design and manufacturing integration at the early design stage in product development, that is, the integration of conceptual design and conceptual process planning, may make a big impact. Thus the development of systematic computer-based support for this integration is desirable. To select and evaluate manufacturing processes, some aspects of form information is necessary. Thus when only the functionally critical forms have been determined from major functional requirements, synthesis of the configuration shape in a generic form would enable early assessment of manufacturing, processes. As a stepping stone toward the development of the configuration shape synthesis and process selection, case studies have been conducted using real world industrial parts. In this paper, we present the case studies using a planet carrier and a gear box housing, and discuss the issues in development of the shape synthesis and process selection method to support the design and process planning integration.

The Application of Force and Acoustic Emission Sensors for Detecting Tool Damage in Turning Processes

2009 ◽  
Vol 419-420 ◽  
pp. 381-384 ◽  
Author(s):  
Amin Al-Habaibeh ◽  
A. Al-Azmi ◽  
N. Radwan ◽  
Yang Song
Keyword(s):  
Acoustic Emission ◽  
Tool Wear ◽  
Condition Monitoring ◽  
Feature Fusion ◽  
Monitoring Systems ◽  
Work Piece ◽  
Manufacturing Processes ◽  
Fusion Model ◽  
Turning Operations ◽  
Condition Monitoring Systems

Condition monitoring systems of manufacturing processes have been recognised in recent years as one of the key technologies that provide the competitive advantage in many manufacturing environments. It is capable of providing an essential means to reduce cost, increase productivity, improve quality and prevent damage to the machine or work-piece. Turning operations are considered one of the most common manufacturing processes in industry. Despite recent development and intensive engineering research, the development of tool wear monitoring systems in turning is still on-going challenge. In this paper, force and acoustic emission signals are used for monitoring tool wear in a feature fusion model. The results prove that the developed system can be used to enhance the design of condition monitoring systems for turning operations to predict tool wear or damage.

scholarly journals Cloud-Based Analytics Module for Predictive Maintenance of the Textile Manufacturing Process

2021 ◽  
Vol 11 (21) ◽  
pp. 9945
Author(s):  
Ray-I Chang ◽  
Chia-Yun Lee ◽  
Yu-Hsin Hung
Keyword(s):  
Quality Management ◽  
Industry 4.0 ◽  
Mean Squared Error ◽  
Production Quality ◽  
Machine Learning Algorithms ◽  
Predictive Maintenance ◽  
Third Party ◽  
Manufacturing Processes ◽  
Textile Manufacturing ◽  
Iot Applications

Industry 4.0 has remarkably transformed many industries. Supervisory control and data acquisition (SCADA) architecture is important to enable an intelligent and connected manufacturing factory. SCADA is extensively used in many Internet of Things (IoT) applications, including data analytics and data visualization. Product quality management is important across most manufacturing industries. In this study, we extensively used SCADA to develop a cloud-based analytics module for production quality predictive maintenance (PdM) in Industry 4.0, thus targeting textile manufacturing processes. The proposed module incorporates a complete knowledge discovery in database process. Machine learning algorithms were employed to analyze preprocessed data and provide predictive suggestions for production quality management. Equipment data were analyzed using the proposed system with an average mean-squared error of ~0.0005. The trained module was implemented as an application programming interface for use in IoT applications and third-party systems. This study provides a basis for improving production quality by predicting optimized equipment settings in manufacturing processes in the textile industry.

scholarly journals Modeling of blood microcirculation, heat and mass transfer in human tissues

2018 ◽  
pp. 58-61
Author(s):  
N. Kizilova ◽  
A. Korobov
Keyword(s):  
Binary Tree ◽  
Flow Distribution ◽  
Biological Tissues ◽  
Homogeneous Distribution ◽  
Monitoring Systems ◽  
Energy Costs ◽  
Minimal Energy ◽  
Blood Microcirculation ◽  
Computer Based ◽  
Optimal Values

A mathematical model of the structure of the blood vessels system which provides blood microcirculation in the superficial tissues of human, namely the skin, to provide blood supply as a fluid, which heats / cools, and determines thermoregulation in changes of ambient temperature and overheating / supercooling is proposed. The model is based on data from current studies of the structure of microcirculatory beds based on microCT technologies. The microvascular system is modeled as a fractal binary tree optimized for uniform supply of a nutrient fluid (blood for biological tissues) due to the homogeneous distribution of capillaries, optimal values for diameters, lengths and branching angles in bifurcations of tubes that provide flow distribution with minimal energy costs. The model has been developed to use in computer-based monitoring systems for the planning of physiotherapy procedures for different diseases.

Monitoring of Electrical Parameters into Island Grid Integrating Renewable Energy Sources

2013 ◽  
Vol 368-370 ◽  
pp. 346-349 ◽  
Author(s):  
Adrian Oprea ◽  
Florin Dragomir ◽  
Otilia Elena Dragomir ◽  
Nicolae Olariu ◽  
Liviu Olteanu
Keyword(s):  
Renewable Energy ◽  
Energy Supply ◽  
Renewable Energy Sources ◽  
Monitoring Systems ◽  
Optimal Timing ◽  
Electrical Parameters ◽  
Security Of Supply ◽  
Computer Based ◽  
Real Time Information ◽  
Time Information

Renewable energy source (RES) enables us to diversify our energy supply. This increases our security of supply and improves European competitiveness creating new industries, jobs, economic growth and export opportunities, whilst also reducing our greenhouse gas emissions. The monitoring systems are widely used in RES applications in order to collect data regarding the installed system performance, for evaluation purposes. In this article, the development of a computer-based system for RES systems monitoring is described. This article proposes a tool dedicated to real-time information of electricity and thus implicitly the optimal timing for use of electricity. The proposed system consists for measuring electrical parameters (photovoltaics voltage and current etc.).

Towards an Industry 4.0-Based Maintenance Approach in the Manufacturing Processes

2019 ◽  
pp. 135-159 ◽  
Author(s):  
J. Roberto Reyes García ◽  
Alberto Martinetti ◽  
Juan M. Jauregui Becker ◽  
Sarbjeet Singh ◽  
Leo A. M. van Dongen
Keyword(s):  
3D Printing ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Monitoring Systems ◽  
Manufacturing Processes ◽  
Machine Reliability ◽  
Condition Monitoring Systems ◽  
New Industry ◽  
Reliability And Availability

Maintenance is one of the key application areas of Industry 4.0. Every day, maintenance managers and technicians face the challenge of ensuring maximum machine reliability and availability, while minimizing the utilization of materials consumed by maintenance and repairs. As productivity is pressured to further improve, finding a successful balance between these aspects is becoming increasingly difficult. Therefore, integrating condition-monitoring systems with predictive and prescriptive maintenance principles, a new Industry 4.0-based maintenance can be obtained that enables maintenance engineers to better deal with this challenge. In this context, Maintenance 4.0 expands existing maintenance functions by the integration of Industry 4.0 technologies, like internet of things, cyber physical systems, augmented reality, and 3D printing. This chapter presents the main maintenance areas that are supported and enabled by Industry 4.0 technologies and introduces an Industry 4.0-based predictive maintenance approach for the manufacturing industry.

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