Inventive engineering: knowledge and skills for creative engineers
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton
CRC Press, Taylor & Francis Group
[2016]
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Includes bibliographical references (pages 381-388) and index |
| Physical Description: | xx, 397 Seiten Illustrationen, Diagramme 24 cm |
| ISBN: | 9781498711241 |
Staff View
MARC
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| 245 | 1 | 0 | |a Inventive engineering |b knowledge and skills for creative engineers |c Tomasz Arciszewski |
| 264 | 1 | |a Boca Raton |b CRC Press, Taylor & Francis Group |c [2016] | |
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| 500 | |a Includes bibliographical references (pages 381-388) and index | ||
| 650 | 4 | |a Ingenieurwissenschaften | |
| 650 | 4 | |a Engineering |x Vocational guidance | |
| 650 | 4 | |a Creative ability in technology | |
| 650 | 4 | |a Soft skills | |
| 650 | 4 | |a Inventions | |
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Record in the Search Index
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|---|---|
| adam_text | Contents
Foreword xiii
Preface XV
Acknowledgments xvii
Author xix
1 Why learn inventive engineering: Ten reasons 1
1 1 Ten reasons why you should become an inventive engineer 3
111 Reason No 1 The new era is coming 3
112 Reason No 2 Emerging global challenges 4
113 Reason No 3 Emerging engineering challenges 5
114 Reason No 4 The competition and you 6
115 Reason No 5 The exporting of engineering jobs 7
116 Reason No 6 Systems and you 8
117 Reason No 7 Critical contradiction 8
118 Reason No 8 A creative and happy life 9
119 Reason No 9 Creativity and wealth 10
1 1 10 Reason No 10 Software and industrial robots 10
Summing up 11
2 Lessons from the past 13
2 1 Why learn from the renaissances 13
2 2 Renaissance emergence 13
2 3 Renaissance man 18
2 4 Da Vinci’s seven principles 28
241 Principle No 1: Curiositä 28
242 Principle No 2: Dimostrazione 32
243 Principle No 3: Sensazione 35
244 Principle No 4: Sfumato 39
245 Principle No 5: Arte/Scienza 42
vi Contents
246 Principle No 6: Corporalita 43
247 Principle No 7: Connessione 46
2 5 The Medici effect 50
3 Lessons from modern science 55
3 1 Political science 55
311 Creative community and the creative class 55
3 2 Psychology 59
321 The theory of successful intelligence 59
3211 The three intelligences 59
3212 Successful versus conventional intelligence 61
3213 Bloom’s taxonomy versus
Sternberg’s intelligences 62
3214 The importance of significance 63
322 Thinking styles 63
323 Positive psychology 67
324 Well-being and inventive engineers 74
4 Basic concepts IT
4 1 Introduction 77
4 2 System 77
4 3 Data, information, and knowledge 82
431 Data and information 82
432 Knowledge 82
4321 Domain knowledge 83
4322 Background knowledge 84
4 4 Transdisciplinarity 84
4 5 Emergent behavior 85
4 6 Knowledge convergence 86
4 7 Synthesis 87
4 8 Synesthesia 88
4 9 Attributes: Design descriptors 89
4 10 Design representation space 90
4 11 Design requirements and constraints 92
4 12 Engineering design 93
4 13 Problem, designing problem, wicked problem 95
5 Science of inventive engineering 99
5 1 Introduction 99
5 2 Engineering designing: Five definitions 103
Contents vii
521 Introduction 103
522 Definition No 1: Holistic 105
523 Definition No 2: Cybernetic 105
524 Definition No 3: Multistage 106
525 Definition No 5: Five-stage 108
526 Definition No 5: Four-stage 109
5 3 Problem identification 109
531 Systems approach 111
532 Mind mapping 115
5321 Step 1: Preparation 118
5322 Step 2: Creation of the central image 118
5323 Step 3: Creation of the first primary
branch 119
5 3 2A Steps 4-9: Creation of remaining
central branches 119
5325 Step 10: Creation of the second,
third, and higher level branches 119
5326 Step 11: Finding relationships 120
5321 Step 12: Modifications
and improvements 120
5328 Step 13: Professional visualization 121
5329 Example 122
533 Innovation situation questionnaire 123
5331 Stage 1: Briefly describe
the designing problem 124
5332 Stage 2: Prepare a detailed description
of the designing problem 125
5333 Stage 3: Identify available resources,
constraints, and requirements 131
5 4 Problem formulation 134
5 5 Design concept evaluation 135
5 6 Design concept selection 137
6 Morphological analysis 139
6 1 Creator 139
6 2 History 140
6 3 Assumptions 142
6 4 Procedure 143
641 Stage 1: Problem identification and formulation 144
6411 Formulation of the inventive challenge 144
6412 Identification of the problem domain 144
viii Contents
6413 Determination of the
problem boundaries 145
6414 Problem formulation 149
642 Stage 2: Analysis 150
6421 Identification of symbolic attributes 150
6422 Determination of values
of symbolic attributes 152
6423 Building a morphological table 153
6424 Verification of results 154
643 Stage 3: Synthesis 155
6431 Random generation of
potential design concepts 155
6A 3 2 Feasibility analysis 156
644 Stage 4: Presentation of results 159
6 5 Example 161
651 Introduction 161
652 Stage 1: Problem identification and formulation 162
6521 Formulation of the inventive challenge 162
6522 Identification of the problem domain 162
6523 Determination of the
problem boundaries 163
6524 Problem formulation 165
653 Stage 2: Analysis 166
6531 Identification of symbolic attributes 166
6 53 2 Determination of values
of symbolic attributes 170
6 5 33 Building the morphological table 171
6 53 4 Verification of results 171
654 Stage 3: Synthesis 171
6 5A 1 Random generation of
potential design concepts 171
6542 Feasibility analysis 172
655 Stage 4: Presentation of results 173
6551 Presentation of problem formulation 173
6552 Presentation of selected design concepts 173
6 6 Potential applications 173
661 Classification 173
662 Comparison of design concepts 175
663 Finding patent holes and building patent fences 177
664 Design knowledge acquisition 178
6641 Construction 178
Contents ix
6642 Verification 178
6 6 43 Identification of design concepts 179
6644 Construction of a morphological tree 180
6645 Identification of decision rules 182
6646 Learning abstract thinking 184
6 7 Black and white 184
671 White: Positive features of morphological analysis 184
672 Black: Negative features of morphological analysis 185
7 Brainstorming 187
7 1 Creator 187
7 2 History 189
7 3 Assumptions 191
7 4 Procedure 200
7 5 Tool box 201
751 Introduction 201
752 Chain thinking 202
753 Associations 203
7 6 Seven simple activities 204
761 No 1: Analyzing the problem 204
762 No 2: Targeting 205
763 No 3: Breaking down the problem 205
764 No 4: Asking stimulating questions 206
765 No 5: Creating combinations 206
766 No 6: Adapting, modifying, and substituting solutions 207
767 No 7: Using mathematical operations 210
7 7 Seven heuristics 213
771 Introduction 213
772 No 1: Work harder 214
773 No 2: Get motivated 214
774 No 3: Make notes 215
775 No 4: Plan to invent 215
776 No 5: Get into the “inventive mood” 216
777 No 6: Know only enough 216
778 No 7: Establish “creative space” 217
7 8 Session organization 218
7 9 Example 223
791 Introduction 223
792 Factfinding 224 7921 No 1: Picking out 224
x Contents
7922 No 2: Pointing out 224
7 9 23 No 3: Preparation 225
793 Idea finding 225
794 Solution finding 229
7 10 Black and White 229
7 10 1 White 229
7 10 2 Black 231
8 Synectics 233
8 1 Creator 233
8 2 History 235
8 3 Assumptions 239
8 4 Psychological states 240
841 First example: Performance driving 244
842 Second example: Playing chess 244
8 5 Key activities 246
8 6 Psychological mechanisms 248
861 No 1: Personal analogy 249
862 No 2: Direct analogy 251
863 No 3: Symbolic analogy 252
864 No 4: Fantasy analogy 255
8 6 Procedure 257
861 First way 261
862 Second way 261
863 Third way 261
864 Fourth way 261
8 7 Session organization 263
8 8 Example 274
8 9 Black and white 282
891 White 282
892 Black 283
9 TRIZ 285
9 1 Creator 285
9 2 History 290
921 Introduction 290
922 Period of classical TRIZ (1945-1985) 290
9221 Initial discoveries (1945-1950) 290
9222 Transdisciplinary learning (1950-1954) 292
9 2 23 Developing the algorithm
(1954-1965, approximately) 292
Contents xi
9224 Developing analytical tools
(1960-1970, approximately) 292
9225 Creation of scientific
foundation (1970-1974) 293
9226 Distributed development (1975-1985) 293
923 Kishinev period (1982-1992) 293
924 Ideation period (1992-present) 294
9 3 Knowledge: The key to understanding TRIZ 294
9 4 Basic concepts 296
941 Contradiction 297
942 Inventive problem 300
943 Levels of inventions 300
9431 1st level: Apparent solution 300
9432 2nd level: Improvement 300
9 4 33 3rd level: Invention inside paradigm 301
9 43 4 4th level: Invention outside paradigm 301
9 43 5 5th level: Discovery 301
944 Basic features of an engineering system 301
945 Inventive principles (eliminating
technical contradictions) 302
946 Separation principles (eliminating
physical contradictions) 303
947 Contradiction table 305
948 Ideal solution 307
949 Vector of psychological inertia 309
9 4 10 Patterns of evolution 311
9 5 Assumptions 312
9 6 Procedure and example 313
961 Introduction 313
962 Stage 1: Problem identification 314
963 Stage 2: Problem formulation 314
964 Stage 3: Development of design concepts 315
9641 Pattern No 28: Replacement
of a mechanical system 316
9642 Pattern No 2: Extraction 317
9 6 43 Pattern No 10: Prior activation 317
9 6A 4 Pattern No 27: An inexpensive
short-life object instead of
an expensive durable one 318
9645 Design ideas 318
965 Stage 4: Evaluation 318
xii Contents
966 Stage 5: Methodological knowledge acquisition 321
967 Stage 6: Final presentation of results 322
9 7 Patterns of evolution 322
971 Introduction 322
9711 Evolution based on an S-curve 323
9712 Evolution toward increased ideality 325
972 Uneven development of system elements 325
973 Evolution toward increased
dynamism and controllability 327
974 Increased complexity followed by simplification 328
975 Matching and mismatching of system elements 329
976 Evolution toward microlevel and increased
use of fields 330
977 Transition to decreased human involvement 331
9 8 Lines of evolution 332
9 9 Black and white 334
991 White 334
992 Black 336
10 Bioinspiration 339
10 1 Why learn bioinspiration? 339
10 2 What is bioinspiration? 341
10 3 What is the history of bioinspiration? 345
10 4 Visual inspiration 345
10 5 Conceptual inspiration 348
10 5 1 Magic of the tubercles on humpback
whales’ flippers 349
10 5 2 Mystery of batoid fishes 353
10 5 3 Learning from natural evolution 355
10 6 Computational inspiration 358
10 6 1 Justification: Why do we need it? 358
10 6 2 What is computational inspiration? 359
10 6 3 Evolutionary computation 360
10 631 Preparation 365
10 632 Generation No 1, initial population No 0 367
10 633 Generation No 2, population No 1 368
10 634 Generation No 3, population No 2 369
10 635 Example 369
10 6 4 Cellular automata 372
References 381
|
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| dewey-ones | 620 - Engineering and allied operations |
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| discipline | Technik Wirtschaftswissenschaften |
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| indexdate | 2024-07-10T07:32:37Z |
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| isbn | 9781498711241 |
| language | English |
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| spelling | Arciszewski, Tomasz Verfasser (DE-588)1110178042 aut Inventive engineering knowledge and skills for creative engineers Tomasz Arciszewski Boca Raton CRC Press, Taylor & Francis Group [2016] xx, 397 Seiten Illustrationen, Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references (pages 381-388) and index Ingenieurwissenschaften Engineering Vocational guidance Creative ability in technology Soft skills Inventions Ingenieurwissenschaften (DE-588)4137304-2 gnd rswk-swf Problemlösen (DE-588)4076358-4 gnd rswk-swf Kreativitätstraining (DE-588)4165555-2 gnd rswk-swf Technische Innovation (DE-588)4431027-4 gnd rswk-swf Ingenieurwissenschaften (DE-588)4137304-2 s Problemlösen (DE-588)4076358-4 s Kreativitätstraining (DE-588)4165555-2 s Technische Innovation (DE-588)4431027-4 s DE-604 HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029103663&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Arciszewski, Tomasz Inventive engineering knowledge and skills for creative engineers Ingenieurwissenschaften Engineering Vocational guidance Creative ability in technology Soft skills Inventions Ingenieurwissenschaften (DE-588)4137304-2 gnd Problemlösen (DE-588)4076358-4 gnd Kreativitätstraining (DE-588)4165555-2 gnd Technische Innovation (DE-588)4431027-4 gnd |
| subject_GND | (DE-588)4137304-2 (DE-588)4076358-4 (DE-588)4165555-2 (DE-588)4431027-4 |
| title | Inventive engineering knowledge and skills for creative engineers |
| title_auth | Inventive engineering knowledge and skills for creative engineers |
| title_exact_search | Inventive engineering knowledge and skills for creative engineers |
| title_full | Inventive engineering knowledge and skills for creative engineers Tomasz Arciszewski |
| title_fullStr | Inventive engineering knowledge and skills for creative engineers Tomasz Arciszewski |
| title_full_unstemmed | Inventive engineering knowledge and skills for creative engineers Tomasz Arciszewski |
| title_short | Inventive engineering |
| title_sort | inventive engineering knowledge and skills for creative engineers |
| title_sub | knowledge and skills for creative engineers |
| topic | Ingenieurwissenschaften Engineering Vocational guidance Creative ability in technology Soft skills Inventions Ingenieurwissenschaften (DE-588)4137304-2 gnd Problemlösen (DE-588)4076358-4 gnd Kreativitätstraining (DE-588)4165555-2 gnd Technische Innovation (DE-588)4431027-4 gnd |
| topic_facet | Ingenieurwissenschaften Engineering Vocational guidance Creative ability in technology Soft skills Inventions Problemlösen Kreativitätstraining Technische Innovation |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029103663&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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