Sheet Metal Forming Optimization: Bioinspired Approaches
Automotive and aerospace components, utensils, and many other products are manufactured by a forming/drawing process on press machines of very thin sheet metal, 0.8 to 1.2 mm. It is imperative to study the effect of all involved parameters on output of this type of manufacturing process. This book o...
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Zusammenfassung: | Automotive and aerospace components, utensils, and many other products are manufactured by a forming/drawing process on press machines of very thin sheet metal, 0.8 to 1.2 mm. It is imperative to study the effect of all involved parameters on output of this type of manufacturing process. This book offers the readers with application and suitability of various evolutionary, swarm, and bio-inspired optimization algorithms for sheet metal forming processes. Book initiates by presenting basics of metal forming, formability followed by discussion of process parameters in detail, prominent modes of failure, basics of optimization and various bioinspired approaches followed by optimization studies on various industrial components applying bioinspired optimization algorithms.
Key Features:
• Focus on description of basic investigation of metal forming, as well as evolutionary optimization
• Presentation of innovative optimization methodologies to close the gap between those formulations and industrial problems, aimed at industrial professionals
• Includes mathematical modeling of drawing/forming process
• Discusses key performance parameters, such as Thinning, Fracture, and Wrinkling
• Includes both numerical and experimental analysis
CHAPTER 01: INTRODUCTION TO METAL FORMING
1.1 INTRODUCTION
1.2 DRAWING/DEEP DRAWING PROCESS
1.3 STATE OF STRESS IN DEEP DRAWING
1.4 DESCRIPTION AND SIGNIFICANCE OF INTRINSIC SHEET METAL PROPERTIES
1.5 FORMABILITY OF SHEET METAL
1.6 STRAIN-DEFINED FAILURE-LIMIT CURVES
1.7 CONSTRUCTION OF FORMING LIMIT DIAGRAM
1.8 THICKNESS GRADIENT
CHAPTER 02: PROCESS PARAMETERS IN DRAWING
2.1 BLANK HOLDING FORCE
2.2 FRICTION IN DRAWING
2.3 FRICTIONAL PROBLEMS IN DEEP DRAWING
2.4 CONTACT REGIONS IN DEEP DRAWING
2.5 LUBRICATION MECHANISM IN DEEP DRAWING
2.6 MICROMECHANISM
2.7 THE GENERALIZED STRIBECK CURVE
2.8 HOW TO CONTROL THE FRICTION LEVEL
2.9 PLOUGHING AND ADHESION
2.10 FRICTION AND DRAWABILITY
2.11 PROCESS IMPROVEMENTS
2.12 DIE PROFILE RADIUS AND PUNCH NOSE RADIUS
CHAPTER 03: FAILURES IN DRAWING
3.1 THINNING AND THICKENING BEHAVIOR
3.2 WRINKLING IN FORMING
3.3 SPRINGBACK
3.4 FRACTURE
CHAPTER 04: ENGINEERING OPTIMIZATION
4.1 OPTIMIZATION
4.2 CLASSIFICATION OF OPTIMIZATION PROBLEMS
4.3 LOCAL SEARCH METHODS
4.4 GLOBAL SEARCH METHODS
4.5 DEVELOPMENTS IN OPTIMIZATION APPROACHES
4.6 BIOINSPIRED ALGORITHMS
CHAPTER 05: THINNING OPTIMIZATION - COHORT INTELLIGENCE APPROACH
5.1 COHORT INTELLIGENCE ALGORITHM
5.2 GENERAL CONSTRAINED OPTIMIZATION PROBLEM
5.3 P |
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DOI: | 10.4324/9781315156101 |