scholarly journals A Control Computer Software Production System

1976 ◽  
Vol 9 (2) ◽  
pp. 33-36
Author(s):  
M. Kahro ◽  
M. Männisalu ◽  
E. Töugu
Keyword(s):  
Production System ◽  
Computer Software ◽  
Software Production ◽  
Control Computer

Evaluation on some Properties of SL7560 Type Photosensitive Resin and its Fabricated Parts

2011 ◽  
Vol 117-119 ◽  
pp. 1164-1167 ◽  
Author(s):  
Bi Wu Huang ◽  
Ming Yi Chen
Keyword(s):  
Mechanical Properties ◽  
Computer Software ◽  
Tensile Modulus ◽  
Dimensional Accuracy ◽  
Elongation At Break ◽  
Photosensitive Resin ◽  
Control Computer ◽  
Ft Ir ◽  
Processing Material

Stereolithography technique is dealt with the techniques of machinery, laser, numeral control, computer software and photosensitive resins, etc. The quality of the photosensitive resins has direct effect on the dimensional accuracy, mechanical properties of the fabricated parts. Therefore the further research on SL7560 type photosensitive resins is very meaningful and valuable. The properties of SL7560 type photosensitive resin were investigated by some instruments and equipments. Characteristics of FT-IR showed that SL7560 type photosensitive resin belonged to an epoxy-acrylic hybrid photosensitive resin. The experimental results showed that its viscosity at 30°C was 197mPa.s, its critical exposure (Ec) was 5.9mJ/cm2, its penetration depth (Dp) was 0.14mm, the tensile strength of its cured product was 43.7MPa, the tensile modulus was 2549MPa, the elongation at break was 10.7%. With the photosensitive resin as the processing material, the part of a mobile phone shell was fabricated using the Stereolithography Apparatus (HRPL-I), and the quality of the fabricated part was good.

Hydrogeological modelling of Olkaria domes geothermal field to predict ground subsidence

2021 ◽  
pp. 25-38
Author(s):  
Solomon Kahiga ◽  
Nicholas Mariita ◽  
Njenga Mburu
Keyword(s):  
Cross Sections ◽  
Surface Deformation ◽  
Three Dimensional ◽  
Computer Software ◽  
Geothermal Field ◽  
Ground Subsidence ◽  
Well Testing ◽  
Resource Exploitation ◽  
Hydrogeological Model ◽  
Software Production

Ground subsidence studies have been done on Olkaria geothermal field conventionally by comparing levels on benchmarks over years. Interferometric synthetic aperture radar (InSAR) systems have also been used to map surface deformation of small spatial extent. For the prediction of future dynamics of land subsidence in Olkaria due to geothermal resource exploitation, a hydrogeological conceptual model has been developed. In this model, hydrologic geothermal fluid properties are analysed and a relationship between the reservoir and geology of the wells established, subsidence is computed numerically. The model takes into account the hydrogeological condition of Olkaria geothermal field. Hydrological reservoir parameters are computed from well testing data. The study considers the Injectivity indices of the various wells under study as pre-computational indicator of the expected subsidence extents. Both two- and three-dimensional geological cross-sections are modelled with the rockworks software by inputting stratigraphic data for Olkaria domes. Geological simulations are used to study subsidence by assigning the ground formation with virtual material that deformed according to some essential relations in Rockworks computer software. Production zones are determined by a comparison between the well properties and corresponding well geology. Subsidence is then computed by the Tezarghi’s modified equation. Cumulative subsidence figures from the computation are in the range of 0.095-0.537m, without any reinjection. Computed values are then mapped in ArcGIS to develop a representative subsidence map. By application of these modelling and numerical computation methods, ground subsidence was effectively predicted using the five selected wells in Olkaria domes field. The hydrogeological model developed, and mapping is an important tool in the planning and development of a reinjection schedule and in subsidence mitigation. Subsidence prediction also is important in design of infrastructure which will be strong enough to resist the forces caused by subsidence.

Towards automatic software generation

Robotica ◽  
1985 ◽  
Vol 3 (1) ◽  
pp. 31-34 ◽  
Author(s):  
B. H. Rudall
Keyword(s):  
Computer Software ◽  
Software Production ◽  
Automatic Software ◽  
Computing Machines

SUMMARYCybernetic techniques already ensure that computing machines are produced efficiently. Consideration is now given to the case for automating the means of producing computer software. A formal notation to describe software production is outlined and some machine portable systems are introduced. New and powerful techniques for modelling machines and producing ‘program’ generators are described.

scholarly journals Digital production system for machining production: structure, operation, software production-technological complex and analysis of technical and economic effectiveness

2020 ◽  
Vol 2020 (11) ◽  
pp. 30-39
Author(s):  
Aleksandr Ingemansson
Keyword(s):  
Adaptive Control ◽  
Production System ◽  
Economic Effectiveness ◽  
Cost Price ◽  
Production Structure ◽  
Finish Turning ◽  
Technological Complex ◽  
Software Production ◽  
Digital Production

The development of the structure and mechanism of digital production system (DPS) functioning during technological preproduction (TP) and adaptive control (AC) of preliminary finish turning and milling is presented. On the basis of the analysis carried out with the use of complex criteria of technological cost price and general effectiveness of equipment there was defined an increase of technical and economic TP effectiveness of machining at the expense of the measures offered for DPS introduction.

Automatic Generation Method of Simulation Model for Production Planning and Simulation Systems Integration

2014 ◽  
Vol 1036 ◽  
pp. 825-829 ◽  
Author(s):  
Damian Krenczyk
Keyword(s):  
Production Planning ◽  
Production System ◽  
Production Systems ◽  
Computer Software ◽  
Simulation Models ◽  
Automatic Generation ◽  
System Structure ◽  
Dynamics Simulation ◽  
Flow Topology ◽  
Simulation Systems

In the paper the method of integration of production planning and simulation systems has been presented. An automatic generation method of production systems models has been implemented to integrate the Production Order Verification System (SWZ) for multi-assortment, concurrent production planning) and Enterprise Dynamics simulation system. Submitted methodology allowed the direct generation of simulation models for production systems with the use of data obtained from PPC systems, regardless of the production system structure, flow topology of the production processes and the amount of resources and production orders. Generation of simulation models is performed automatically, allowing the omission of time-and labor-consuming process of building a simulation. In the process of generation of the simulation models, methods of data mapping, transformation and exchange, between heterogeneous computer systems (PPC/DES) using neutral formats and data storing (XML) in conjunction with an intermediate neutral data model have been used. The result of transformation is the input file for simulation systems, containing information about the production system model, together with control procedures. Based on the described methodology, operation algorithms have been developed and the computer software RapidSim, that integrates PPC and DES systems has been presented.

SPS: A Software Production System for mini-computers and micro-computers

2005 ◽  
Author(s):  
Y. Matsumoto ◽  
S. Nakajima ◽  
S. Yamamoto ◽  
T. Sakai
Keyword(s):  
Production System ◽  
Software Production

PLC-Based Laboratory Intelligent Management System

2013 ◽  
Vol 748 ◽  
pp. 1244-1250
Author(s):  
Chen Chi
Keyword(s):  
Management System ◽  
Design Method ◽  
Computer Software ◽  
Fingerprint Recognition ◽  
Practical Application ◽  
Reliable Operation ◽  
Management Level ◽  
Information Preservation ◽  
Control Computer ◽  
Intelligent Management

This study proposes the design method of a PLC-based laboratory intelligent management system. The proposed system presents an integration of various technologies, including fingerprint recognition, touch screen interaction, wireless coded remote control, computer software, hardware control, and software management. The practical application of the proposed system demonstrates certain advantages, such as easy installation, reliable operation, and convenient information preservation, processing, and inquiry. The proposed system can significantly improve the modern management level of university laboratories.

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