نتایج جستجو برای: hydraulic deep drawing

تعداد نتایج: 284518  

2012
H. Mohammadi Majd M. Jalali Azizpour A. V. Hoseini

In this paper back-propagation artificial neural network (BPANN) is employed to predict the limiting drawing ratio (LDR) of the deep drawing process. To prepare a training set for BPANN, some finite element simulations were carried out. die and punch radius, die arc radius, friction coefficient, thickness, yield strength of sheet and strain hardening exponent were used as the input data and the...

2013
H. Mohammadi Majd M. Jalali Azizpour M. Goodarzi

In this paper back-propagation artificial neural network (BPANN) with Levenberg–Marquardt algorithm is employed to predict the limiting drawing ratio (LDR) of the deep drawing process. To prepare a training set for BPANN, some finite element simulations were carried out. die and punch radius, die arc radius, friction coefficient, thickness, yield strength of sheet and strain hardening exponent ...

Journal: :Transactions of the Japan Society of Mechanical Engineers 1974

Journal: :The International Journal of Advanced Manufacturing Technology 2022

For the purpose of eliminating annular welding seams in structures with differential thickness, a hydroforming method using circular 5A06 aluminum alloy plate radial thickness coupling flexible polyurethane auxiliary was proposed to form an integrated semi-ellipsoid shell. The had smaller middle and larger periphery. In forming process such plates, concentrated deformation fracture might have o...

Heidari, M.,

Excavators are heavy construction equipment consisting of a boom, dipper (or stick), bucket and cab on a rotating platform known as the "house". In this paper the hydraulic shovel excavator is analyzed through the D-H method. The shovel working device with the bucket capacity of 36m3 is optimized. The determination of the objective function, variables and constraints are described in ...

Journal: :journal of computational and applied research in mechanial engineering - jcarme 0
s. izadpanah school of mechanical engineering, shahrood university of technology, shahrood 3619995161, iran s. h. ghaderi school of mechanical engineering, shahrood university of technology, shahrood 3619995161, iran m. gerdooei school of mechanical engineering, shahrood university of technology, shahrood 3619995161, iran

this paper investigates the earing phenomenon in deep drawing of aa3105 aluminum alloy, experimentally and numerically. earing defect is mainly attributed to the plastic anisotropy of sheet metal. in order to control such defect, predicting the evolution of ears in sheet metal forming analyses becomes indispensable. in this regard, the present study implements the advanced yield criterion bbc20...

Journal: : 2021

The paper considers the technological process of deep drawing, taking into account high degree deformation metal and small thickness (0.5 mm) workpiece. Given complexity impossibility its representation in an analytical form, uses form a phase portrait plane drawing force movement hydraulic press punch. Phase trajectories mentioned determine geometric dimensions product, characterize stresses d...

Journal: :International Journal of Current Engineering and Technology 2010

Journal: :Polymer Engineering and Science 2023

Warm deep drawing of polypropylene, a semi-crystalline thermoplastic polymer, is studied using finite element analysis. In this process, circular polypropylene blank preheated to temperature much below its melting and drawn into the shape flat-bottom cylindrical cup punch-die combination, both initially at 25°C. The material model used for analysis considers effects varying strain rate during p...

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