scholarly journals THE ABILITY RESEARCH OF ADAPTIVE CONTROL OF SURFACE INTEGRITY DEFORMED CONDITION AND WORKING PERFORMANCE OF INSTRUMENTS IN DIGITAL PRODUCTION SYSTEMS

2020 ◽  
pp. 22-26
Author(s):  
A. Ingemansson
Keyword(s):  
Adaptive Control ◽  
Surface Integrity ◽  
Production Systems ◽  
Digital Production ◽  
Machined Parts ◽  
Working Performance

The ability of adaptive control of stability of machined parts surface integrity deformed condition and stability of working performance of cutting instruments in digital production systems is justified.

scholarly journals Cutting effectiveness increase at expense of adaptive control in digital production systems

2020 ◽  
Vol 0 (4) ◽  
pp. 39-48 ◽  
Author(s):  
Aleksandr Ingemansson
Keyword(s):  
Adaptive Control ◽  
Cutting Force ◽  
Production Systems ◽  
Mill Operation ◽  
Digital Production ◽  
Definition Of

The paper is dedicated to the development of solutions for cutting effectiveness increase at the expense of the potentialities use of modern NC automated equipment and these solutions application for the formation of digital production systems (DPS) for machining. There are developed computation formulae allowing the definition of cutting force values during turning and mill operation aimed for technological pre-production (TP) and for the adaptive control of NC equipment in DPSs.

scholarly journals BASIC PATTERNS OF METHODOLOGY OF TECHNOLOGICAL PREPARATION OF PRODUCTION AND ADAPTIVE CONTROL IN DIGITAL PRODUCTION SYSTEMS FOR METALWORKING

2021 ◽  
pp. 15-18
Author(s):  
A. R. Ingemansson
Keyword(s):  
Adaptive Control ◽  
Production Systems ◽  
Technological Preparation ◽  
Metalworking Industry ◽  
Digital Production

In the article the basic patterns of developed methodology of technological preparation of production and adaptive control of stability and quality in automated metalworking industry are described.

scholarly journals THE CALCULATION DEPENDENCIES FOR THE CONTROL OF TURNING AND MILLING IN DIGITAL PRODUCTION SYSTEMS

2020 ◽  
pp. 26-30
Author(s):  
A. Ingemansson ◽  
Ju. Tchigirinsky ◽  
V. Zhukov
Keyword(s):  
Adaptive Control ◽  
Mathematical Models ◽  
Production Systems ◽  
Technological Preparation ◽  
Digital Production

The mathematical models for technological preparation of production and adaptive control of turning and milling in digital production systems are developed.

Theoretical Surface Roughness Model in High Speed Face Milling

2014 ◽  
Vol 989-994 ◽  
pp. 3331-3334
Author(s):  
Tao Zhang ◽  
Guo He Li ◽  
L. Han
Keyword(s):  
Surface Roughness ◽  
Surface Integrity ◽  
High Speed ◽  
Cutting Parameters ◽  
Angular Speed ◽  
Face Milling ◽  
Advanced Manufacturing ◽  
Roughness Model ◽  
Machined Parts ◽  
Important Object

High speed milling is a newly developed advanced manufacturing technology. Surface integrity is an important object of machined parts. Surface roughness is mostly used to evaluate to the surface integrity. A theoretical surface roughness model for high face milling was established. The influence of cutting parameters on the surface roughness is analyzed. The surface roughness decreases when the cutter radius increases, total number of tooth and rotation angular speed, while it increases with the feeding velocity. The high speed face milling can get a smooth surface and it can replace the grinding with higher efficiency.

Digitale Produktion und intelligente Steuerung/Digital Production and Intelligent Production Control – Integrating digital and real-world production for adaptive and automated control

2020 ◽  
Vol 110 (04) ◽  
pp. 255-260
Author(s):  
Marvin Carl May ◽  
Andreas Kuhnle ◽  
Gisela Lanza
Keyword(s):  
Production Control ◽  
Production Systems ◽  
Industrie 4.0 ◽  
World Production ◽  
Production Planning And Control ◽  
Automated Control ◽  
Planning And Control ◽  
Digital Production ◽  
Digitale Modelle ◽  
And Control

Im Rahmen der stufenweisen Umsetzung von Industrie 4.0 erreicht die Vernetzung und Digitalisierung die gesamte Produktion. Den physischen Produktionsprozess nicht nur cyber-physisch zu begleiten, sondern durch eine virtuelle, digitale Kopie zu erfassen und zu optimieren, stellt ein enormes Potenzial für die Produktionssystemplanung und -steuerung dar. Zudem erlauben digitale Modelle die Anwendung intelligenter Produktionssteuerungsverfahren und leisten damit einen Beitrag zur Verbreitung optimierender adaptiver Systeme.   In the wake of implementing Industrie 4.0 both integration and digitalization affect the entire production. Physical production systems offer enormous potential for production planning and control through virtual, digital copies and their optimization, well beyond purely cyber-physical production system extensions. Furthermore, digital models enable the application of intelligent production control and hence contribute to the dissemination of adaptively optimizing systems.

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