Lecture

Advanced Additive Manufacturing Technologies: Light Engine

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Description

This lecture covers advanced additive manufacturing technologies, focusing on 3D printing using continuous wave light for single photon absorption. It discusses the historical perspective, photopolymerization process, importance of polymers in AM, and the use of Digital MicroMirror Array (DLP™). The lecture also explores the cost of manufacturing, material extrusion, jetting, and binder jetting, as well as design innovation and complexity degrees in AM.

Official source

Related concepts (32)

3D printing

3D printing or additive manufacturing is the construction of a three-dimensional object from a CAD model or a digital 3D model. It can be done in a variety of processes in which material is deposited, joined or solidified under computer control, with material being added together (such as plastics, liquids or powder grains being fused), typically layer by layer. In the 1980s, 3D printing techniques were considered suitable only for the production of functional or aesthetic prototypes, and a more appropriate term for it at the time was rapid prototyping.

Complexity class

In computational complexity theory, a complexity class is a set of computational problems "of related resource-based complexity". The two most commonly analyzed resources are time and memory. In general, a complexity class is defined in terms of a type of computational problem, a model of computation, and a bounded resource like time or memory. In particular, most complexity classes consist of decision problems that are solvable with a Turing machine, and are differentiated by their time or space (memory) requirements.

Computational complexity

In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it. Particular focus is given to computation time (generally measured by the number of needed elementary operations) and memory storage requirements. The complexity of a problem is the complexity of the best algorithms that allow solving the problem. The study of the complexity of explicitly given algorithms is called analysis of algorithms, while the study of the complexity of problems is called computational complexity theory.

Computational complexity theory

In theoretical computer science and mathematics, computational complexity theory focuses on classifying computational problems according to their resource usage, and relating these classes to each other. A computational problem is a task solved by a computer. A computation problem is solvable by mechanical application of mathematical steps, such as an algorithm. A problem is regarded as inherently difficult if its solution requires significant resources, whatever the algorithm used.

Communication complexity

In theoretical computer science, communication complexity studies the amount of communication required to solve a problem when the input to the problem is distributed among two or more parties. The study of communication complexity was first introduced by Andrew Yao in 1979, while studying the problem of computation distributed among several machines. The problem is usually stated as follows: two parties (traditionally called Alice and Bob) each receive a (potentially different) -bit string and .

Related lectures (52)

Image Acquisition

Covers the basics of image acquisition, including optical devices, resolution factors, lens distortions, and sensor technologies.

Ray Optics

Introduces the basic principles of ray optics, covering topics such as microscopy aspects, image formation, and laws of reflection and refraction.

Image Formation: Lens and Mirror System

Covers the formation of images by lens and mirror systems.

TEM Lenses: Condenser, Objective, and Projector MOOC: Transmission Electron Microscopy for Materials Sciences

Explores the roles of condenser, objective, and projector lenses in a TEM.

Electron Microscopy Components