Design framework for model-based self-optimizing manufacturing systems

被引：12

作者：

Thombansen, Ulrich ^{[1
]}

Buchholz, Guido ^{[2
]}

Frank, Daniel ^{[3
]}

Heinisch, Julian ^{[4
]}

Kemper, Maximilian ^{[5
]}

Pullen, Thomas ^{[3
]}

Reimer, Viktor ^{[5
]}

Rotshteyn, Grigory ^{[6
]}

Schwenzer, Max ^{[3
]}

Stemmler, Sebastian ^{[7
]}

Abel, Dirk ^{[7
]}

Gries, Thomas ^{[5
]}

Hopmann, Christian ^{[4
]}

Klocke, Fritz ^{[3
]}

Poprawe, Reinhardt ^{[1
]}

Reisgen, Uwe ^{[2
]}

Schmitt, Robert ^{[3
]}

机构：

[1] Fraunhofer, ILT, Steinbachstr 15, D-52074 Aachen, Germany

[2] Rhein Westfal TH Aachen, Welding & Joining Inst ISF, Pontstr 49, D-52062 Aachen, Germany

[3] Rhein Westfal TH Aachen, Lab Machine Tools & Prod Engn WZL, Campus Blvd 30, D-52074 Aachen, Germany

[4] Rhein Westfal TH Aachen, Inst Plast Proc IKV Ind & Skilled Crafts, Seffenter Weg 201, D-52074 Aachen, Germany

[5] Rhein Westfal TH Aachen, Ist Text Tech ITA, Otto Blumenthal Str 1, D-52074 Aachen, Germany

[6] Fraunhofer, IPT, Steinbachstr 17, D-52074 Aachen, Germany

[7] Rhein Westfal TH Aachen, Ist Automat Control IRT, Campus Blvd 30, D-52074 Aachen, Germany

来源：

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2018年 / 97卷 / 1-4期

关键词：

MBSO; Process control; Quality control; Machine tool; Manufacturing; ADAPTIVE-CONTROL; FORCE CONTROL; QUALITY-CONTROL; OPTIMIZATION; PRESSURE;

D O I：

10.1007/s00170-018-1951-8

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Designing manufacturing systems requires a profound understanding of the manufacturing process and its challenges to meet final customer requirements. Considering future objectives already at an early design stage increases the flexibility of the manufacturing system and its robustness regarding changed boundary conditions. Today's manufacturing systems rather control machine settings than process variables or even product quality. The major barrier for quality control is that in most manufacturing processes, quality cannot be measured on-line. Model-based self-sptimization (MBSO) has been developed to overcome this limitation. A combination of embedded process knowledge and tailored sensor integration enables for on-line quality estimation. The overall objective is to control key characteristics of product quality in a broad manufacturing landscape. This work describes a guideline of how to design an MBSO system with examples at each stage of the development process.

引用

页码：519 / 528

页数：10

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