Modeling and simulation on BTA boring system with nonlinear internal cutting fluid flow

Author(s):  
Wu Zhao ◽  
Quanbin Zhang ◽  
Weitao Jia ◽  
Zhanqi Hu
Author(s):  
Andreas Baumann ◽  
Ekrem Oezkaya ◽  
Dirk Schnabel ◽  
Dirk Biermann ◽  
Peter Eberhard

2021 ◽  
Vol 3 (5) ◽  
Author(s):  
Michael Müller ◽  
Lukas Stahl ◽  
Robar Arafat ◽  
Nadine Madanchi ◽  
Christoph Herrmann

AbstractIn grinding processes, heat is generated by the contact of the grains with the workpiece. In order to reduce damages on the workpiece and the grinding tool, cutting fluids are necessary for most grinding processes. They have the tasks of cooling and lubricating the contact zone and to remove the chips from the contact area. Different types of cutting fluids perform differently regarding these tasks, which can be investigated on a laboratory scale. However, the results of those experiments are limited to certain workpieces and processes and information about the contact mechanics are not available. The experimental investigation of contact mechanics under cutting fluid influence is hardly possible. For this reason, this paper uses a measurement strategy that uses scaled topographies and has already been successfully applied to contact mechanics problems. With such a setup, it is intended that at an early stage in the development of cutting fluids, their characteristics in terms of contact mechanics can be determined very efficiently. To demonstrate this approach, two different cutting fluids were tested with the help of the associated test rig—a water miscible emulsion and a non-water miscible grinding oil. The two fluids showed fundamentally different characteristics regarding their hydrodynamic load bearing effect, their influence on the friction behavior of the contact and their fluid flow in the gap. The properties analyzed here correspond to the practical application of cutting fluids. The results underline the potential of the presented setup for an integration into the development process of cutting fluids.


Author(s):  
Olutosin Olufisayo Ilori ◽  
Dare A. Adetan ◽  
Lasisi E. Umoru

The study determined the effect of cutting parameters on the surface residual stress of face-milled pearlitic ductile iron with a view to enhancing surface integrity of machined parts in the manufacturing industries. The pearlitic ductile iron used for this study was prepared and four cutting parameters were considered. The results obtained showed that the average surface residual stress of the machined surfaces was tensile and increased significantly with increase in depth of cut. Feed rate and cutting speed exhibited some effect, though not statistically significant, on average surface residual stress. The average residual stress was found to decrease significantly and drastically from 605.39 MPa to 101.72 MPa as cutting fluid flow rate increased from 0 ?/min to 4 ?/min. The study concluded that out of all four cutting parameters investigated, the cutting fluid flow rate has most considerable influence on the surface residual stress of the machined pearlitic ductile iron.


2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Sadia Bakhtiar ◽  
Farid Ullah Khan

This paper presents the analytical modeling and simulation of an electromagnetic energy harvester (having linear behaviour) that generates power from pulsating fluid flow for pipeline condition monitoring systems. The modeled energy harvester is comprised of a cylindrical permanent magnet and a wound coil attached to a flexible membrane which oscillates due to the pulsating fluid flow in the pipe over which the prototype is considered to be mounted. In the harvester electrical energy is produced due to the relative motion between the coil and magnet. Based on the harvester’s architecture a lumped parameter model (single degree of freedom system) is developed and is simulated at different physical operational conditions. The simulation is performed at pressure amplitude of 625 Pa. When subjected to the operational frequency sweep, at the harvester’s resonant frequency (500 Hz) and damping ratio of 0.01, the devised model predicted the maximum open circuit voltage of 2.55 V and load voltage of 1.27 V. While operating under resonance, the maximum load voltage of 2.45 V is estimated at load resistance of 100 Ω. However, at an optimum load of 4.3 Ω, the simulation shows a production of 188151.2 μW power at a frequency of 500 Hz.


2019 ◽  
Vol 12 (32) ◽  
pp. 1-6
Author(s):  
Abid Ali Memon ◽  
Hisam-uddin Shaikh ◽  
Baqir Ali Shah ◽  
Muhammad Afzal Soomro ◽  
Abdul Ghafoor Shaikh ◽  
...  

Author(s):  
Vandana A. Salilkumar ◽  
Narayan K. Sundaram

Abstract Metal cutting and deformation processing operations provide some of the most challenging problems for modeling and simulation in computational plasticity. These challenges include, but are not limited to, extreme plastic deformation, challenges in constitutive and interfacial friction modeling, microstructural effects, mechanical and thermoplastic instabilities, multiphysics effects due to cutting fluid and high temperatures, and are generally computationally intensive. Despite considerable progress in each of these fronts, there is scope to expand the envelope of simulations that capture the deformation physics while being computationally feasible. Moreover, even conventional standard FEA codes can be leveraged for modeling and simulation in more effective ways. In this work, we present three challenging scenarios for modeling, namely large strain extrusion machining (LSEM), forming using a flat punch, and cutting of inhomogeneous metal, using a mix of Arbitrary Lagrangian Eulerian (ALE), conventional Lagrangian FE, and remeshing techniques. Some of these simulations are ‘standard’, while others are first-in-class, and we discuss both specific and general modeling issues that must be considered to obtain good quality solutions. Specific mechanics insights gleaned from each of these case studies are also presented, ranging from the influence of friction in deep punch indentation to the selection of the chip thickness ratio in LSEM. The last part of this work focuses on problems that arise in the simulation of polycrystalline aggregate cutting, and the progress made in addressing them.


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