Abstract

In this paper, a methodology for depositing wear- and corrosion-resistant layers of geometrically more complex tracks on metal substrates is presented. The corresponding mathematical model includes the temperature field produced by the laser beam, the field of residual mechanical stresses, and the efficiency of utilization of the delivered powder material. The computations are realized using the finite element method, with a substantial improvement in processing the time-variable geometry of the investigated system being found, based on the introduction of two specific matrices that characterize both the surface on which the tracks are cladded as well as the track itself. The proposed technique is illustrated by cladding an angled helix on a metal surface. Selected results are successfully verified by experiments.

Highlights

  • Additive technologies are highly advanced processes which are used in many industries

  • The cladding process generally represents a multiphysics problem in which the primary temperature field induced by the laser beam gives rise to other physical fields

  • A dynamic viscosity is introduced in the form of η = 108 Pa · s for T < Tm and η = 10−4 Pa · s for T ≥ Tm, where Tm is the temperature of melting

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Summary

Introduction

Additive technologies are highly advanced processes which are used in many industries. Fromand a physical of view, thin layers ontomainly a metalofsubstrate is a substrate powderpoint material, and the the cladding top layer of (purple) consists powder mavery complex task.aFigure represents this process, which in a aprotective terial The deposition of thin layers on the surfaces of metallic bodies with the aim to enhance their physical properties began to be investigated in the 1980s This technology was introduced only at the very end of the 20th century, and its development was based mainly on experiments [2,3,4,5,6,7,8]. In combination with COMSOL Multiphysics, this method is used to solve the numerical model of 3D cladding of an angled helix

Mathematical Model
Temperature Field
Field of Flow
Field of Mechanical Stresses
Numerical Solution
Input Data
Temperature
Distribution
Experiment
Conclusions
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