Research Catalog

Strategy of process engineering

Title
Strategy of process engineering [by] Dale F. Rudd [and] Charles C. Watson.
Author
Rudd, Dale F.
Publication
New York, Wiley [1968]

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StatusFormatAccessCall NumberItem Location
TextUse in library TS155.R73Off-site

Details

Additional Authors
Watson, Charles C.
Description
xiii, 466 pages illustrations; 23 cm
Subject
  • Production engineering
  • Production engineering
  • Anlagenplanung
  • Chemieanlage
Bibliography (note)
  • Includes bibliographies.
Contents
Machine derived contents note: 1. Introduction 1 -- 1.1 The scope of this text 1 -- 1.2 An onrushing technology 2 -- 1.3 From the primitive to the specific 4 -- 1.4 The obstacles along the way 6 -- 1.5 Concluding remarks 7 -- PART I. THE CREATION AND ASSESSMENT OF -- ALTERNATIVES -- 2. The Synthesis of Plausible Alternatives 11 -- 2.1 The creation of alternatives 11 -- 2.2 Define the primitive problem 13 -- 2.3 The specific problems 14 -- 2.4 The preliminary screening of alternatives 17 -- 2.5 Common sources of background information 25 -- 2.6 Concluding remarks 29 -- 3. The Structure of Systems 34 -- 3.1 A system and its subsystems 34 -- 3.2 System Interactions 35 -- 3.3 Degrees of freedom in a system 36 -- 3.4 The degrees of freedom in a single heat exchanger 40 -- 3.5 Reversal of information flow 42 -- 3.6 A design variable selection algorithm 45 -- 3.7 A single equilibrium still 49 -- 3.8 Information flow through the subsystems 50 -- 3.9 System information flow reversal 54 -- 3.10 The structural effects of design variable selection 55 -- 3.11 Persistent recycle 59 -- 3.12 Recycle computations 64 -- 3.13 Concluding remarks 66 -- ix -- 4. Economic Design Criteria 80 -- 4.1 Introduction 80 -- 4.2 Definition of terms used in profitability studies 81 -- 4.3 The present value of future dollars 85 -- 4.4 Competition for capital 87 -- 4.5 The evolution of a design criterion 89 -- 4.6 Accounting for risk 91 -- 4.7 The design of a heat-exchange system 93 -- 4.8 The effects of limited capital 97 -- 4.9 The allocation of insulation to a refinery 99 -- 4.10 A summary of industrial design criteria 102 -- 4.11 Estimating the economic life of a process 104 -- 4.12 Concluding remarks 106 -- 5. Cost Estimation 114 -- 5.1 Introduction 114 -- 5.2 Estimating the investment in major items of equipment 116 -- 5.3 The factored estimate method 124 -- 5.4 Investment in auxiliary services 130 -- 5.5 The estimation of manufacturing costs 131 -- 5.6 Cost equations for optimization 136 -- 5.7 Concluding remarks 141 -- PART II. OPTIMIZATION -- 6. The Search for Optimum Conditions 153 -- 6.1 Calculus 153 -- 6.2 The need for search methods 155 -- 6.3 Search over a single design variable 156 -- 6.4 Region elimination 159 -- 6.5 Search by the golden section 162 -- 6.6 Determination of best batch time 163 -- 6.7 In case of multimodal functions 165 -- 6.8 Search over several design variables 166 -- 6.9 The optimization of a refrigeration system 172 -- 6.10 Concluding remarks 179 -- 7. Linear Programming 188 -- 7.1 Introduction 188 -- 7.2 The transportation problem 189 -- 7.3 The special property of extreme points 194 -- 7.4 The simplex algorithm 196 -- 7.5 Petroleum refinery scheduling 201 -- 7.6 Concluding remarks 205 -- 8. The Suboptimization of Systems with Acyclic Structure 212 -- 8.1 The principle of optimality 212 -- 8.2 Dynamic programming-a sequence of suboptimizations 216 -- 8.3 Solvent allocation to a crosscurrent extractor 221 -- 8.4 The optimization of a more complex system 229 -- 8.5 Comparison of direct search and dynamic programming 241 -- 8.6 Concluding remarks 242 -- 9. Macrosystem Optimization Strategies 251 -- 9.1 The quest for a macrosystem strategy 252 -- 9.2 Sensitivity and the dominant problem 252 -- 9.3 Attacking complex acyclic structures 258 -- 9.4 The strategy of stage combination 260 -- 9.5 The cut state concept 265 -- 9.6 Summary of the rules of thumb 269 -- 9.7 An application of the macrosystem methods 270 -- 9.8 The optimization of a sulfuric acid process 273 -- 9.9 Concluding remarks 279 -- 10. Multilevel Attack on Very Large Problems 282 -- 10.1 A large system dilemma 282 -- 10.2 The system and its subsystems 284 -- 10.3 Suboptimization and forced cooperation 285 -- 10.4 An application of the two level method 288 -- 10.5 Optimization of a thermofor catalytic cracking process 292 -- 10.6 SYMROS, system for multirefinery operations scheduling 298 -- 10.7 Concluding remarks 304 -- PART III. ENGINEERING IN THE PRESENCE OF -- UNCERTAINTY -- 11. Accommodating to Future Developments 309 -- 11.1 Anticipating the future 309 -- 11.2 Accommodating to a linear demand forecast 312 -- 11.3 Nonzero initial demand 316 -- 11.4 Accommodating to Iceland's fertilizer needs (1950) 317 -- 11.5 Sizing new chemical plants in a dynamic economy 320 -- 11.6 Parametric sensitivity 323 -- 11.7 A curious effect of human nature 324 -- 11.8 Concluding remarks 325 -- 12. Accounting for Uncertainty in Data 330 -- 12.1 Engineering on the safe side 330 -- 12.2 The propagation of uncertainty through designs 333 -- 12.3 The problem of decision-making, a homely example 340 -- 12.4 The expected value criterion 345 -- 12.5 The sizing of a catalytic bed 346 -- 12.6 Overdesign of a distillation tower 348 -- 12.7 Design of a backmix reactor 352 -- 12.8 An analysis of the risk factor 356 -- 12.9 Concluding remarks 359 -- 13. Failure Tolerance 365 -- 13.1 Introduction 365 -- 13.2 Catastrophic results from minor events 366 -- 13.3 Preliminary flow sheet review 368 -- 13.4 Reliability under extreme conditions 373 -- 13.5 Safety through proper layout 379 -- 13.6 The theory of reliability 381 -- 13.7 The optimal replication of an intermediate reactor 383 -- 13.8 An example of standby redundancy 384 -- 13.9 Theoretical studies in disaster propagation 386 -- 13.10 Concluding remarks 390 -- 14. Engineering Around Variations 397 -- 14.1 Variability, a constant antagonist 397 -- 14.2 The effects of storage on a pulsed supply 399 -- 14.3 Analysis by queuing theory 404 -- 14.4 Intersystem variations 410 -- 14.5 Economically optimal utilization 415 -- 14.6 Adapting to a variable power supply 416 -- 14.7 The parametric pumping of processes 418 -- 14.8 Blending random quality variations 420 -- 14.9 Smoothing periodic step variations 425 -- 14.10 The surge tank 426 -- 14.11 Concluding remarks 428 -- 15. Simulation 436 -- 15.1 A balance between convenience and reality 436 -- 15.2 A fire-water distribution simulator 437 -- 15.3 The Esso refinery berthing problem 439 -- 15.4 A blending problem 442 -- 15.5 Industrial simulators 447 -- 15.6 Monte Carlo simulation theory 453 -- 15.7 Simulation languages 455.
ISBN
  • 0471744557
  • 9780471744559
  • 0471744506
  • 9780471744504
LCCN
67031212
OCLC
  • ocm00558889
  • 558889
  • SCSB-9328397
Owning Institutions
Princeton University Library