Sheet Metal Forming Optimization: Bioinspired Approaches, 1st Edition (Hardback) book cover

Sheet Metal Forming Optimization

Bioinspired Approaches, 1st Edition

By Ganesh M. Kakandikar, Vilas M. Nandedkar

CRC Press

234 pages | 50 Color Illus. | 65 B/W Illus.

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Description

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

Table of Contents

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 PENALTY FUNCTION

5.4 STATIC PENALTY FUNCTION METHOD

5.5 DYNAMIC PENALTY FUNCTION

5.6 PROPOSED INNOVATIVE METHODOLOGY

5.7 CONFIGURATIONS OF COMPONENTS

5.8 SEALING COVER

5.9 SELECTION OF PROCESS PARAMETERS AND PERFORMANCE MEASURE – THINNING.

5.10 NUMERICAL INVESTIGATIONS – TAGUCHI DESIGN OF EXPERIMENTS

5.11 ANALYSIS OF VARIANCE

5.12 OBJECTIVE FUNCTION FORMULATION

5.13 RESULTS

5.14 VALIDATION – NUMERICAL SIMULATION

5.15 EXPERIMENTAL VALIDATION

CHAPTER 06: SPRING BACK OPTIMIZATION – FLOWER POLLINATION

6.1 INTRODUCTION

6.2 FLOWER POLLINATION

6.3 FLOWCHART

6.4 PSEUDOCODE

6.5 SEALING COVER

6.6 SELECTION OF PROCESS PARAMETERS AND PERFORMANCE MEASURE – SPRINGBACK

6.7 NUMERICAL INVESTIGATIONS – TAGUCHI DESIGN OF EXPERIMENTS

6.8 ANALYSIS OF VARIANCE

6.9 OBJECTIVE FUNCTION FORMULATION

6.10 RESULTS

6.11 VALIDATION – NUMERICAL SIMULATION

CHAPTER 07: FRACTURE OPTIMIZATION - GENETIC ALGORITHM APPROACH

7.1 INTRODUCTION

7.2 TAILCAP

7.3 SELECTION OF PROCESS PARAMETERS AND PERFORMANCE MEASURE – SPRINGBACK

7.4 NUMERICAL INVESTIGATIONS – TAGUCHI DESIGN OF EXPERIMENTS

7.5 ANALYSIS OF VARIANCE

7.6 OBJECTIVE FUNCTION FORMULATION

7.7 RESULTS

7.8 VALIDATION – NUMERICAL SIMULATION

CHAPTER 08: THINNING OPTIMIZATION OF PUNCH PLATE: GREY WOLF OPTIMIZER

8.1 INTRODUCTION

8.2 INSPIRATION

8.3 MATHEMATICAL MODEL AND ALGORITHM

8.4 THE PSEUDO CODE

8.5 PENALTY FUNCTION

8.6 PUNCH PLATE

8.7 SELECTION OF PROCESS PARAMETERS AND PERFORMANCE MEASURE – THINNING.

8.8 NUMERICAL INVESTIGATIONS – TAGUCHI DESIGN OF EXPERIMENTS

8.9 ANALYSIS OF VARIANCE

8.10 OBJECTIVE FUNCTION FORMULATION

8.11 RESULTS

8.12 VALIDATION – NUMERICAL SIMULATION

CHAPTER 09: WRINKLING OPTIMIZATION: FIREFLY ALGORITHM

9.1 BEHAVIOUR OF FIREFLIES

9.2 FIREFLY ALGORITHM

9.3 PSEUDOCODE

9.4 CONNECTOR

9.5 SELECTION OF PROCESS PARAMETERS AND PERFORMANCE MEASURE – WRINKLING

9.6 NUMERICAL INVESTIGATIONS – TAGUCHI DESIGN OF EXPERIMENTS

9.7 ANALYSIS OF VARIANCE

9.8 OBJECTIVE FUNCTION FORMULATION

9.9 RESULTS

9.10 VALIDATION – NUMERICAL SIMULATION

CHAPTER 10: THICKNESS GRADIENT OPTIMIZATION: ANT LION APPROACH

10.1 INTRODUCION

10.2 THE PSEUDO CODE OF ALO ALGORITHM

10.3 TAILCAP

10.4 SELECTION OF PROCESS PARAMETERS AND PERFORMANCE MEASURE – THICKNESS GRADIENT

10.5 NUMERICAL INVESTIGATIONS – TAGUCHI DESIGN OF EXPERIMENTS

10.6 ANALYSIS OF VARIANCE

10.7 OBJECTIVE FUNCTION FORMULATION

10.8 RESULTS

10.9 VALIDATION – NUMERICAL SIMULATION

CHAPTER 11: SPRINGBACK OPTIMIZATION: CUCKOO SEARCH

11.1 CUCKOO BREEDING BEHAVIOUR

11.2 LEVY FLIGHTS

11.3 CUCKOO SEARCH

11.4 PUNCH PLATE

11.5 SELECTION OF PROCESS PARAMETERS AND PERFORMANCE MEASURE – THINNING.

11.6 NUMERICAL INVESTIGATIONS – TAGUCHI DESIGN OF EXPERIMENTS

11.7 ANALYSIS OF VARIANCE

11.8 OBJECTIVE FUNCTION FORMULATION

11.9 RESULTS

About the Authors

Dr. Ganesh M. Kakandikar

Dr. Ganesh Kakandikar is presently working as Associate Professor in Department of Mechanical Engineering at MAEER’s Maharashtra Institute of Technology, Kothrud, Pune. He has completed his Ph.D. from Swami Ramanand Teerth Marathwada University, Nanded. He has total 19 years of teaching experience. His area of expertise are Sheet Metal Forming, Optimization Technique and CAD/CAM/CAE. He has 55 National and International publications. He has Authored three International books.

Dr. Vilas M. Nandedkar

Dr. Vilas M. Nandedkar is presently working as Professor in Department of Production Engineering at S.G.G.S. Institute of Engineering & Technology, Nanded, India. He has completed his Ph.D. from Indian Institute of Technology, Powai, Bombay. His areas of interest are Robotics, Sheet Metal Forming and Technology Management. He has authored two International books. He has 150 National and International publications.

Subject Categories

BISAC Subject Codes/Headings:
SCI041000
SCIENCE / Mechanics / General
TEC020000
TECHNOLOGY & ENGINEERING / Manufacturing
TEC021000
TECHNOLOGY & ENGINEERING / Material Science