Fundamentals of Additive Manufacturing Technologies
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Fundamentals of Additive Manufacturing Technologies
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Course type
Watch to learn anytime
Course duration
2133 Min
Course start date & time
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Language
English
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Course content
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Fundamentals of Additive Manufacturing Technologies
40 Lectures
2133 min
Introduction
10 min
Introduction to Additive Manufacturing
43 min
CAD Models for Additive Manufacturing
67 min
Manipulation of STL Files
86 min
Slicing Methods (Part A)
42 min
Slicing Methods (Part B)
37 min
Toolpath Planning
40 min
Demonstration of CAD-CAM Packages
113 min
Introduction to Liquid AM
34 min
Stereolithography Apparatus: Fundamentals of Photopolymerization (Part 1)
35 min
Stereolithography Apparatus: Fundamentals of Photopolymerization (Part 2)
110 min
Stereolithography Apparatus: Sub-systems (Part 1)
43 min
Stereolithography Apparatus: Sub-systems (Part 2)
68 min
Other Liquid AM Processes-1
48 min
Other Liquid AM Processes-2
40 min
Sheet Additive Manufacturing - Part 1
52 min
Sheet Additive Manufacturing - Part 2
58 min
Wire Additive Manufacturing
70 min
Fused Deposition Modeling
65 min
Metal Wire Additive Manufacturing
53 min
Metal Inert Gas-Wire Arc Additive Manufacturing (MIG-WAAM: Part 1)
52 min
Metal Inert Gas-Wire Arc Additive Manufacturing (MIG-WAAM: Part 2)
51 min
Tungsten Inert Gas/Plasma-Wire Arc Additive Manufacturing (TIG/Plasma-WAAM)
60 min
Electron beam-based Wire Beam Additive Manufacturing (WBAM)
46 min
Laser Metal Wire Additive Manufacturing
56 min
Powder-Feed Additive Manufacturing (Part 1)
50 min
Powder-Feed Additive Manufacturing (Part 2)
47 min
Process Modeling for Powder Feed Additive Manufacturing (Part 1)
22 min
Process Modeling for Powder Feed Additive Manufacturing (Part 2)
64 min
Laser Beam based Powder Bed Additive Manufacturing (Part 1)
55 min
Laser Beam based Powder Bed Additive Manufacturing (Part 2)
37 min
Electron Beam based Powder Bed Additive Manufacturing
57 min
Binder based Powder Bed Additive Manufacturing (Part 1)
40 min
Binder based Powder Bed Additive Manufacturing (Part 2)
25 min
3D Concrete Printing
66 min
Fundamentals of Numerical Modeling of AM Processes (Part 1)
55 min
Fundamentals of Numerical Modeling of AM Processes (Part 2)
46 min
Demonstration of Additive Manufacturing Machine Tools
40 min
Omnidirectionality in Additive Manufacturing Systems
73 min
Demonstration of DEM Software for Powder Handling in Additive Manufacturing
77 min
Course details
Additive manufacturing, also known as 3D printing, is a revolutionary technology that enables the creation of complex geometries and customized products layer by layer. This course covers the fundamentals of additive manufacturing, including the different types of technologies such as Fused Deposition Modeling (FDM), Stereolithography (SLA), and Selective Laser Sintering (SLS). Students will learn about the design considerations, materials, and applications of additive manufacturing, as well as the advantages and limitations of these technologies. Through hands-on experience and real-world examples, students will gain a deep understanding of the additive manufacturing process and develop the skills to design and produce innovative products. By the end of this course, students will be equipped with the knowledge and expertise to leverage additive manufacturing for product development, prototyping, and production.
Source: Youtube Channel (NPTEL)
Course suitable for
Automotive Production Mechanical
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Questions and Answers
A: A would also show inconsistent bead width and mass loss across X-Y coupons which you don't see. B changes bulk stiffness but doesn't selectively kill Z-strength with a dry surface. C gives a glossy but brittle interface and is fan-speed dependent across the whole part. D creates micro-voids and poor polymer chain diffusion specifically between layers, matching the Z-only failure with otherwise stable process temps.
A: A mainly affects the green state surface and wouldn't propagate cracks hours later. B raises modulus but doesn't explain rapid crazing when solvents are present. C leads to delayed mass change and warpage rather than sharp cracks. D matches solvent-assisted crack initiation in highly crosslinked SLA resins exposed to acetone vapour.
A: A ignores that recoating sets the pace once layer count explodes. B drops the layer-by-layer overhead that dominates SLS builds. C underestimates because coupon intuition misses volumetric scaling. D follows first principles on layer count and cycle time, landing in the right decade even before heat soak penalties.
A: A would show field-wide distortion tied to galvo position, not just edges. B leaves a repeating pattern everywhere the hatch runs. C gives macroscopic curl and warpage rather than fine ripples. D explains localized density variation where the blade loses support at the perimeter.
A: A trades fatigue strength for thermal conductivity and doesn't survive hot cyclic duty. B brings corrosion and density penalties not aligned with the environment. C is sensitive to oxygen content which degrades fatigue life. D leverages vacuum processing to control interstitials and protect high-cycle fatigue.
A: A would show first-layer scarring and early failure, not mid-build peel. B creates elephant foot but usually improves adhesion. C causes immediate corner lift from layer one. D allows accumulated shrinkage stresses to overcome the brim later in the build.
A: A misses the infill reduction entirely. B slips a decimal and treats it like a billet. C drops the mass of skins and ribs that add up. D walks the volume and density logic to a reasonable figure without overfitting.
A: A is slow indoors and shows surface chalking first. B needs sustained heat well above service conditions. C would leave surface pitting or swelling. D explains humidity-driven changes in modulus and toughness common to polyamides.
A: A produces random rounded pores not tied to tracks. B leaves smooth, spherical voids often isolated. C causes sporadic defects unrelated to scan strategy. D matches elongated voids along scan lines where melt pools never coalesced.
A: A ignores the weak interface that dominates compliance. B hides worst-case direction under arithmetic comfort. C imports assumptions from molded parts that don't hold here. D gives a fast, defensible check that respects anisotropy under deadline pressure.
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