Results 231 to 240 of about 27,261 (261)

ESC-YOLOv8: An enhanced deep learning framework for semantic understanding of single-line diagram imagery. [PDF]

open access: yesPLoS One
Bhanbhro H   +6 more
europepmc   +1 more source

Experimental Study of Drawing Load Curves in Forming Conical Parts by Hydroforming and Conventional Deep Drawing Processes

open access: yesAdvanced Materials Research, 2011
Since conical parts have wide applications in the industry and forming these parts is one of the most complex and difficult fields in sheet metal forming processes, the study on different methods in forming these parts can be useful. Hydroforming and conventional multistage deep drawing are two deep drawing processes which have been used to form ...
Mohammad Bakhshi-Jooybari   +2 more
exaly   +3 more sources

Thickness Distribution in Conical Parts Formed by Hydroforming and Conventional Multistage Deep Drawing Processes

open access: yesAdvanced Materials Research, 2011
Forming conical parts is one of the difficult fields in sheet metal forming processes. Because of low contact area of the sheet with the punch in the initial stages of forming, too much tension applied to the sheet that it causes bursting. Furthermore, since the major part of the sheet surface between the blank holder and punch tip is free, wrinkles ...
A Gorji   +2 more
exaly   +3 more sources

A novel approach to the conventional deep drawing process

open access: yesProceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2022
In this study, the mechanical formability of Al6061-T6 sheet material using a pre-bulging process was experimentally investigated. Therefore, an innovative die entrance design was applied to conventional deep drawing dies. In addition to the formability of the Al6061-T6 material, the effects of the innovative design on the energy consumption and ...
Mehmet Okan Kabakçı   +2 more
openaire   +3 more sources

Comparison of Conventional Deep Drawing, Hydromechanical Deep-Drawing and High Pressure Sheet Metal Forming by Numerical Experiments

open access: yesAIP Conference Proceedings, 2005
Increasing use of new technologies in automotive and aircraft applications requires intensive research and developments on sheet metal forming processes. This study focuses on the assessment of sheet hydroforming, hydro‐mechanical deep drawing and conventional deep‐drawing processes by performing a systematic analysis by numerical simulations. Circular,
Onder, IE, Tekkaya, AE
core   +3 more sources

Optimization of the draw-die design in conventional deep-drawing in order to minimise tool wear

Journal of Materials Processing Technology, 1998
Abstract An important problem in the production of drawn parts is tool wear, especially at the draw-die. If tool wear can be reduced this can increase the tool lifetime and make a more continuous production flow, due to a reduction in the number of break-downs when the tools have to be re-polished.
K B Nielsen, J Danckert
exaly   +3 more sources

Applying the finite-element method for determination of tool wear in conventional deep-drawing

Journal of Materials Processing Technology, 1998
Abstract The prediction of tool wear in conventional deep-drawing is accomplished using the finite-element method. The distribution of tool wear on the draw-die profile is obtained and compared to industrial observations. This is achieved by proposing a semi-empirical wear model in which the tool wear is a function of both the normal pressure and the
K B Nielsen, J Danckert
exaly   +3 more sources

Numerical simulation of various cross sectional workpieces using conventional deep drawing and hydroforming technologies

International Journal of Machine Tools and Manufacture, 2008
Abstract This study focuses on the determination of optimum sheet metal forming process and process parameters for various cross sectional workpieces by comparing the numerical results of high-pressure sheet metal forming, hydro-mechanical deep drawing (DD) and conventional DD simulations. Within the range of each cross section, depth, characteristic
A Erman Tekkaya
exaly   +2 more sources

Home - About - Disclaimer - Privacy