Towards hybrid laser-arc based directed energy deposition: Understanding bead formation through mathematical modeling for additive manufacturing

نویسندگان

چکیده

This study highlights three phenomena in directed energy deposition using hybrid laser-arc: bead formation, change the shape because of laser-arc interaction, and formation defects. Unlike arc-based deposition, differs from pre-conceived parabolic or cosine form, which necessitates a new model. The laser-induced flow preheating wire electrode widen molten pool width cause depression top surface deposited bead. Consequently, fixed critical offset distance for multi-pass (e.g., 0.66 0.73 times width, based on flat tangent overlapping model deposition) does not yield optimal deposition. In this work, first, parametric assesses defect phenomenon high-strength steel as candidate material, followed by an evaluation existing models appropriateness defect-free beads. Results indicate that parabola composited with unimodal beta distribution - accounts laser influence (power distance) is more responsive to variation substantially accurate than models. Increasing power significantly changes reduces distance. traverse speed most factor welding current leading It envisioned fundamental understanding developed result present investigation will provide direction additive manufacturing several material classes, many are weldable therefore additively manufactured

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sensing, modeling and control for laser-based additive manufacturing

Laser-Based Additive Manufacturing (LBAM) is a promising manufacturing technology that can be widely applied to part preparation, surface modification, and Solid Freeform Fabrication (SFF). A large number of parameters govern the LBAM process. These parameters are sensitive to the environmental variations, and they also influence each other. This paper introduces the research work in RCAM on im...

متن کامل

Mathematical Modeling of Additive Manufacturing Technologies

Mathematical modeling of additive manufacturing technologies is aimed at improving the performance of device, machine, and mechanism parts. These technologies include stereolithography, electrolytic deposition, thermal and laserbased 3D printing, 3D-IC fabrication technologies, etc. They are booming nowadays, because they can provide rapid low-cost high-accuracy production of 3D items of arbitr...

متن کامل

Modeling of Weld Bead Geometry Using Adaptive Neuro-Fuzzy Inference System (ANFIS) in Additive Manufacturing

Additive Manufacturing describes the technologies that can produce a physical model out of a computer model with a layer-by-layer production process. Additive Manufacturing technologies, as compared to traditional manufacturing methods, have the high capability of manufacturing the complex components using minimum energy and minimum consumption. These technologies have brought about the possibi...

متن کامل

An Overview of Additive Manufacturing of Titanium Components by Directed Energy Deposition: Microstructure and Mechanical Properties

The directed energy deposition (DED) process can be employed to build net shape components or prototypes starting from powder or wires, through a layer-by-layer process. This process provides an opportunity to fabricate complex shaped and functionally graded parts that can be utilized in different engineering applications. DED uses a laser as a focused heat source to melt the in-situ delivered ...

متن کامل

Fabricating Superior NiAl Bronze Components through Wire Arc Additive Manufacturing

Cast nickel aluminum bronze (NAB) alloy is widely used for large engineering components in marine applications due to its excellent mechanical properties and corrosion resistance. Casting porosity, as well as coarse microstructure, however, are accompanied by a decrease in mechanical properties of cast NAB components. Although heat treatment, friction stir processing, and fusion welding were im...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Manufacturing Processes

سال: 2022

ISSN: ['1526-6125', '2212-4616']

DOI: https://doi.org/10.1016/j.jmapro.2022.02.027