Experimental evaluation and prediction of deep drawability of adhesive bonded steel sheets. Issue 7 (July 2015)
- Record Type:
- Journal Article
- Title:
- Experimental evaluation and prediction of deep drawability of adhesive bonded steel sheets. Issue 7 (July 2015)
- Main Title:
- Experimental evaluation and prediction of deep drawability of adhesive bonded steel sheets
- Authors:
- Satheeshkumar, V.
Narayanan, R. Ganesh - Abstract:
- <abstract abstract-type="main" xml:lang="en" id="mawe201500435-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <p>The main aim of the present work is to experimentally evaluate the deep drawing behaviour of adhesive bonded sheets at different adhesive properties and predict the same using finite element simulations. The deep drawing quality steel and SS316L stainless steel are used as base materials for experiments and simulations. The deep drawing behaviour is also predicted using available analytical equations and proposed semi‐empirical equations. Such predictions are validated with experimental results.</p> <p>It is observed that due to increased plasticity of adhesive layer, the hardener rich formulation of adhesive improves the deep drawability of adhesive bonded blanks. The presence of carbon black in the adhesive has improved the drawability of bonded sheets up to a certain limit, say 2% by weight in the present work. The deep drawing behaviour predicted either by approach 1 (by giving experimentally evaluated adhesive properties as input) and by approach 2 (adhesive properties evaluated from rule of mixtures) are almost same, which indicates that both the methods can be used for forming behaviour prediction. The deep drawability predictions are moderately accurate with respect to experimental observation. The accuracy of analytical models for maximum load predictions is encouraging while comparing it with experimental results and numerical<abstract abstract-type="main" xml:lang="en" id="mawe201500435-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <p>The main aim of the present work is to experimentally evaluate the deep drawing behaviour of adhesive bonded sheets at different adhesive properties and predict the same using finite element simulations. The deep drawing quality steel and SS316L stainless steel are used as base materials for experiments and simulations. The deep drawing behaviour is also predicted using available analytical equations and proposed semi‐empirical equations. Such predictions are validated with experimental results.</p> <p>It is observed that due to increased plasticity of adhesive layer, the hardener rich formulation of adhesive improves the deep drawability of adhesive bonded blanks. The presence of carbon black in the adhesive has improved the drawability of bonded sheets up to a certain limit, say 2% by weight in the present work. The deep drawing behaviour predicted either by approach 1 (by giving experimentally evaluated adhesive properties as input) and by approach 2 (adhesive properties evaluated from rule of mixtures) are almost same, which indicates that both the methods can be used for forming behaviour prediction. The deep drawability predictions are moderately accurate with respect to experimental observation. The accuracy of analytical models for maximum load predictions is encouraging while comparing it with experimental results and numerical predictions. The proposed semi‐empirical equations show promising results to obtain initial estimate about the load‐progression behaviour of bonded sheets.</p> </abstract> … (more)
- Is Part Of:
- Materialwissenschaft und Werkstofftechnik. Volume 46:Issue 7(2015:Jul.)
- Journal:
- Materialwissenschaft und Werkstofftechnik
- Issue:
- Volume 46:Issue 7(2015:Jul.)
- Issue Display:
- Volume 46, Issue 7 (2015)
- Year:
- 2015
- Volume:
- 46
- Issue:
- 7
- Issue Sort Value:
- 2015-0046-0007-0000
- Page Start:
- 713
- Page End:
- 735
- Publication Date:
- 2015-07
- Subjects:
- Materials -- Periodicals
Materials -- Testing -- Periodicals
620.1 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/mawe.201500435 ↗
- Languages:
- English
- ISSNs:
- 0933-5137
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5396.640000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4049.xml