-
- News
- Books
Featured Books
- smt007 Magazine
Latest Issues
Current IssueThe Butterfly Effect
The basis of chaos theory is a key concept known as the “butterfly effect.” It’s the idea that a small event in one place creates a cascading set of events elsewhere. So, how is the EMS landscape changing? We’re tracking the concerns and dynamics of this landscape, and there’s a lot to learn.
Coming to Terms With AI
In this issue, we examine the profound effect artificial intelligence and machine learning are having on manufacturing and business processes. We follow technology, innovation, and money as automation becomes the new key indicator of growth in our industry.
Box Build
One trend is to add box build and final assembly to your product offering. In this issue, we explore the opportunities and risks of adding system assembly to your service portfolio.
- Articles
- Columns
Search Console
- Links
- Events
||| MENU - smt007 Magazine
Revolutionizing PCB Prototyping With ML and AM
June 14, 2024 | Nick Geddes, Nano DimensionEstimated reading time: 1 minute
When it comes to printed circuit board (PCB) development in particular, traditional methodologies are being reshaped by the convergence of additive manufacturing (AM), machine learning (ML), and artificial intelligence (AI), and propelling the evolution of electronics manufacturing to unprecedented heights.
Historically, PCB prototyping has been a meticulous and time-consuming process, often laden with complexities and high costs. Traditional methods have typically involved intricate design iterations, extensive manual labor, and significant material waste. However, the advent of AM has revolutionized this landscape, offering a rapid, cost-effective alternative that significantly accelerates the development cycle.
Emerging as a frontrunner in PCB prototyping, the technique facilitates the direct deposition of conductive and dielectric materials onto substrates, bypassing the need for conventional etching processes. As a result, intricate PCB designs can be swiftly translated into physical prototypes with unparalleled speed and precision.
The Role of Machine Learning and AI
While AM streamlines the physical realization of PCB prototypes, machine learning as part of AI injects intelligence into the process, enhancing efficiency and performance. These technologies harness vast datasets and iterative algorithms to optimize various aspects of AM, from material selection to print parameter optimization.
One of the primary applications of machine learning in AM is predictive modeling. By analyzing historical print data and material properties, machine learning algorithms can forecast 3D printed outcomes, identifying potential defects or inefficiencies before they occur. This preemptive approach not only minimizes wastage but also streamlines the design process, enabling faster iterations and superior end results.
To read this entire article, which appeared in the May 2024 issue of PCB007 Magazine, click here.
Suggested Items
Skunk Works Demonstrates AI For Air-To-Air Tactical Intercepts
06/11/2024 | Lockheed MartinLockheed Martin Skunk Works partnered with the University of Iowa's Operator Performance Laboratory (OPL) to demonstrate the use of artificial intelligence (AI) in air-to-air intercept scenarios.
Siemens Simplifies Development of AI Accelerators for Advanced System-on-chip Designs with Catapult AI NN
05/24/2024 | SiemensSiemens Digital Industries Software announced Catapult™ AI NN software for High-Level Synthesis (HLS) of neural network accelerators on Application-Specific Integrated Circuits (ASICs) and System-on-a-chip (SoCs). Catapult AI NN is a complete solution that starts with a neural network description from an AI framework, converts it into C++ and synthesizes it into an RTL accelerator in Verilog or VHDL for implementation in silicon.
Scanfil Uses Employee Engagement Survey to Improve
04/30/2024 | ScanfilOnce a year Scanfil arranges Employee Engagement Survey (EES) in order to get valuable insight from its employees. In EES all employees are invited to share their opinion, bring ideas for improvements, and contribute to making Scanfil a better place to work.
Real Time with... IPC APEX EXPO 2024: Industrial Quality Solutions from Zeiss
04/23/2024 | Real Time with...IPC APEX EXPOEditor Nolan Johnson and Herminso Gomez of Zeiss Group discuss the company's industrial quality solutions, with a focus on X-ray technology. Zeiss provides a range of microscopy options and Herminso highlights the advantages of X-ray technology for aerospace, medical, and consumer electronics sectors.
Unimicron Joins '2024 TALENT, in Taiwan'
04/22/2024 | UnimicronTalent sustainability has always been a goal that Unimicron attach great importance to. In order to create a more diverse, equal and inclusive workplace, we announced that Unimicron has joined the "2024 TALENT, in Taiwan "