scholarly journals Insulation Thickness Guidelines for Energy Control, Process Control, Personnel Protection and Condensation Control

1985 ◽  
Author(s):  
Winfield T. Irwin
Keyword(s):  
Process Control ◽  
Control Process ◽  
Insulation Material ◽  
Fiber Glass ◽  
Energy Control ◽  
Insulation Thickness ◽  
Industrial Markets

There are two questions that practically every engineer or designer asks of insulation manufacturers serving the commercial/industrial markets: 1. What insulation material can be used for this application? 2. How thick should the insulation be? The first question is beyond the scope of this presentation. The answer depends on many factors. Suffice it to say that no insulation material commercially available is ideally suited for every kind of application or service. For our purposes today, we have assumed that fiber glass has been selected as the insulation type of choice, and we now concentrate on the second question, “How thick should the insulation be?” Paper published with permission.

scholarly journals THE INFLUENCE OF THE METHOD OF LAYING PIPELINES ON THE ENERGY EFFICIENCY OF THE HEATING NETWORK

2019 ◽  
Vol 10 (2) ◽  
pp. 59-66
Author(s):  
E. A Biryuzova ◽  
A. S Glukhanov
Keyword(s):  
Energy Efficiency ◽  
Heat Loss ◽  
Thermal Insulation ◽  
Thermal Energy ◽  
Great Influence ◽  
Temperature Fields ◽  
Insulation Material ◽  
Design Work ◽  
Heat Networks ◽  
Insulation Thickness

Through pipelines of heat networks, due to their large length, a large amount of thermal energy is lost. Identification of technical solutions related to improving the energy efficiency of heating networks is an urgent task at present. The article is devoted to the consideration of options for laying pipelines of heat networks during design work. In the conducted studies, two main methods of underground laying of pipelines of heat networks with the choice of the most energy-efficient, with minimal losses of thermal energy are considered. Channel and channelless laying methods are investigated with the same design features and technological conditions of operation of pipelines of heat networks using the same thermal insulation material. For each option, the required thickness of the thermal insulation is determined by the normalized density of the heat flow, thermal calculations are performed to determine the heat loss and the value of the temperature fields generated around the operating pipelines of the heat networks. The obtained values of the thermal insulation thickness in the channel method of laying pipelines are 30-50 % lower than those in channelless laying. The heat loss values, according to the results of the heat calculation for the options under consideration, in the channel method of laying are reduced by 47-65 %. The temperature fields formed around the pipelines of thermal networks with channelless laying significantly exceed the natural value of the soil temperature at the depth of the pipeline. What has a great influence on the determination of the distance to adjacent pipelines and other utilities, laid underground, in the zone of the thermal network. A comparative analysis of the results obtained makes it possible to single out the choice of the method of laying the pipeline into a group of measures aimed at energy saving and increasing energy efficiency in heating systems.

The Intelligent Quality Control Technology System Based on the Integration Methods of SPC and EPC

2012 ◽  
Vol 263-266 ◽  
pp. 839-842 ◽  
Author(s):  
Zhong Qiu Jiang
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Process ◽  
Control Mode ◽  
Statistical Process ◽  
Technology System ◽  
Quality Control Process ◽  
Dynamic Quality ◽  
And Function

SPC (statistical process control) and EPC (engineering process control) is the scientific methods of quality quality control and quality improvement. It is the difficult problems of quality control process for network manufacturing enterprise how to effectively solve the dynamic quality fluctuation monitoring and the fluctuation abnormal diagnostic analysis and timely process adjustments, this paper designs the intelligent quality control mode and function system architecture, the modes expatiates quality management network based on quality control network of the workshop level and enterprise class network, and researches the integration applications of statistical process control and enterprise ERP quality system, and applies J2EE technology to achieve the system organic combination of design and development.

INSTRUMENTATION AND PROCESS CONTROL | Process Control

2002 ◽  
pp. 1401-1410 ◽  
Author(s):  
P. Georgieva ◽  
R. Oliveira ◽  
S. Feyo de Azevedo
Keyword(s):  
Process Control ◽  
Control Process

Fundamentals of Process Control

1988 ◽  
pp. 143-183
Keyword(s):  
Process Control ◽  
Manufacturing Systems ◽  
Control Process ◽  
Vacuum Induction Melting ◽  
Processing Temperature ◽  
Induction Melting ◽  
Materials Handling ◽  
Control Functions ◽  
Steel Slabs ◽  
Demand Control

Abstract This chapter discusses the selection, use, and integration of methods to control process variables in induction heating, including control of workpiece and processing temperature and materials handling systems. The discussion of temperature control includes a review of proportional controllers and heat-regulating devices. Integration of control functions is illustrated with examples related to heating of steel slabs, surface hardening of steel parts, vacuum induction melting for casting operations, and process optimization for electric-demand control. Distributed control within larger manufacturing systems is discussed. The chapter also covers nondestructive techniques for process control and methods for process simulation.

Variability Analysis by Statistical Control Process and Functional Data Analysis — Case of Study Applied to Power System Harmonics Assessment

2014 ◽  
Vol 615 ◽  
pp. 118-123 ◽  
Author(s):  
Joaquín Sancho ◽  
Jorge Pastor ◽  
Javier Martínez ◽  
Miguel Angel García
Keyword(s):  
Data Analysis ◽  
Process Control ◽  
Power Systems ◽  
Statistical Process Control ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Control Process ◽  
Industrial Applications ◽  
Statistical Control ◽  
Statistical Process

Functional data appear in a multitude of industrial applications and processes. However, in many cases at present, such data continue to be studied from the conventional standpoint based on Statistical Process Control (SPC), losing the capacity of analyzing different aspects over the time. In this study is presented a Statistical Control Process based on functional data analysis to identify outliers or special causes of variability of harmonics appearing in power systems which can negatively impact on quality of electricity supply. The results obtained from the functional approach are compared with those obtained with conventional Statistical Process Control that has been done firstly.

Progress on Vacuum Insulation Panels in Building Application

2012 ◽  
Vol 178-181 ◽  
pp. 46-50
Author(s):  
Wang Ping Wu ◽  
Zhou Chen ◽  
Cheng Dong Li ◽  
Teng Zhou Xu ◽  
Jin Lian Qiu ◽  
...  
Keyword(s):  
Glass Fiber ◽  
Thermal Insulation ◽  
Surface Damage ◽  
Core Material ◽  
Insulation Material ◽  
Insulation System ◽  
Vacuum Insulation ◽  
Insulation Thickness ◽  
New Material ◽  
Barrier Film

The insulation material VIP in building offers a new material for highly insulated constructions with just a fraction of the required insulation thickness compared to conventional thermal insulation materials. A VIP is basically composed of the core material, the barrier film and getters. Core materials of VIP are glass fiber, fumed silica, fiber-powder composite core. The barrier film covered by glass fiber textile is the protection of the envelope against surface damage and fire attack. We introduce the VIP elements, the system of VIPs in building application and external thermal insulation system with VIP.

scholarly journals Analisis Rugi-Rugi Panas pada Tangki Penyimpan Panas dalam Sistem Pembangkit Listrik Tenaga Matahari

2012 ◽  
Vol 1 (1) ◽  
pp. 13-18
Author(s):  
Ghalya Pikra ◽  
Agus Salim ◽  
Tri Admono ◽  
Merry Indahsari Devi
Keyword(s):  
Heat Loss ◽  
Storage Tank ◽  
Storage Time ◽  
Heat Storage ◽  
Ceramic Fiber ◽  
Insulation Material ◽  
Generation System ◽  
Insulation Thickness ◽  
Power Generation System ◽  
Selection Of

Analysis of heat loss on heat storage tank in solar power generation system is intended to determine the heat loss value during storage. Selection of insulation material, insulation thickness, time of storage and heat storage fluid affects the heat losses. The research was initiated by determining the dimension of the tank and its insulation material, and determining the heat storage time in the tank. Fluid and operating temperature is determined to get the fluid specification to be used as data analysis. The analysis begins with the calculation of storage capacities, followed by making of thermal nets to get the thermal resistance equation which is then used to calculate the heat loss in the tank. The result shows that the heat storage tank with 0.4 m diameter and 0.45 m height and uses ceramic fiber wool insulation with 0.1m thickness gives the value of heat loss of 63.43 W. 

scholarly journals Automation of DMPS Manufacturing by using LabView & PLC

2018 ◽  
Vol 8 (6) ◽  
pp. 5484
Author(s):  
Fareeza F ◽  
Chunchu Rambabu ◽  
S. Krishnaveni ◽  
Abel Chernet Kabiso
Keyword(s):  
Image Processing ◽  
Process Control ◽  
Control Process ◽  
Industrial Process ◽  
Gray Scale ◽  
Programmable Logic Control ◽  
Normal Image ◽  
Lab View ◽  
Ole For Process Control ◽  
Vision Module

<p>This Paper is to enable the Siemens (Programmable Logic Control) CPU 313-5A to communicate with the Lab VIEW and to control the process accuracy by image processing. The communication between CPU 313-5A and Lab VIEW is via OPC (OLE for Process Control).Process Accuracy is achieved with the use of Labview Image Processing and Gray Scale matching Pattern. Accuracy in the gray scale matching will purely depend on the calibration of the camera with respect to the corresponding image. The digital output from the labview is communicated to PLC via Ethernet Protocol for the industrial process control. With the use of Labview the dead time while using the normal image vision module in PLC can be minimized. Labview uses the gray scale matching technique which is more accurate than the normal image vision module used in PLC.</p>

scholarly journals Pengendalian Kualitas Proses Pengemasan Gula Karung Menggunakan Metode Statistical Process Control (SPC)

2020 ◽  
Vol 1 (1) ◽  
pp. 16
Author(s):  
Rizaldi Sardani ◽  
Devi Faradila ◽  
Suci Oktri Viarani M ◽  
Eko Supriadi
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Human Error ◽  
Control Process ◽  
Statistical Process ◽  
Product Packaging ◽  
Packaging Process ◽  
Quality Control Process

Quality is a benchmark to determine the level of good and bad of a product. The level of quality of a product will affect customer satisfaction, hence, to produce high quality products, it is necessary for a company to have a quality control process. Quality control is a process that aims to maintain the quality of products and services that have been promised to consumers. In this study, quality control is carried out in the sugar packaging process. Where in the sugar packaging process found the resulting product has a poor quality, defective and not in accordance with specifications. This study uses the Statistical Process Control (SPC) method which aims to determine the causes of defective products with the intention that the packaging process can further minimize the level of product defects. The SPC method is a statistical analysis technique with seven statistical tools or seven tools. Based on the results of the study it can be seen that the cause of product damage / defects in the product packaging process is caused by three types of damage namely damage due to conveyor (38.17%), damage due to machine pinched (35.82%), and damage due to loose seams (26,00%) This type of damage can be caused by human error and other factors such as engine condition, engine cleanliness and the monitoring process. Proposed improvements recommended for the company are to provide training to employees, make clear work instructions, conduct periodic maintenance for the machines used, supervise all work areas, and carry out quality control for every acceptance of raw materials.

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