Design for Manufacturability for CNC Machining — Automatic Manufacturability Assessment

Design for Manufacturability for CNC Machining — Automatic Manufacturability Assessment

In this blog post, we will look at a few examples of DFM in action along with a review of tools and technique to programmatically automate the review process.

The definition of design for manufacturability (DFM) goes as follow: “The general engineering practice of designing products in such a way that they are easy to manufacture” [0]. Doing so will invariably improve the return on investment by reducing cost and avoiding problems during the manufacturing process. DFM allows problems to be caught when the cost of error is the smallest (i.e. when the part isn’t being made yet). Even if a part is manufacturable, one should always consider whether it could be manufactured faster and/or cheaper using DFM principles.

For computer numerical control machining (CNC machining) the cost is mostly driven by the machines time. This encompass the time the machine is being used, the setup time and the time to program the machine for the task. The time is also heavily affected by the material being used, the tolerances that are acceptable and the complexity of the part. If the part is to be designed for manufacturability, the designer needs to keep all these concepts in mind and balance them properly.

In this blog post, we will look at a few examples of DFM in action along with a review of tools and technique to programmatically automate the review process. If you want to learn more about different ways of saving up on cost in CNC machining, take a look at one of our previous blog post “10 méthodes pour économiser sur l’usinage CNC”. Here are a few examples of application of DFM.

Sharp Corners

An obvious change that one can make to a design to make it easier to machine is avoiding sharp corner. If we look at a turning process [1] for two parts presented in figure 1, the panel 1A makes more aesthetic sense. However, since a turning process is a single point cutting tool removing material from a rotating workpiece to form a cylindrical shape, it is impossible to get this type of right angle with only the tool as every tool has some radius. Therefore, to have a sharp corner, one need to manually remove the rounded corner. Leaving this slight curvature that fits with the piece used for the turning process as seen in the panel 1B greatly simplifies the machining process and therefore reduces the machining time.

Example of sharp and correct corners.

manufacturing engineering deep-learning matlab python

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Emojify - Create your own emoji with Deep Learning

Emojify - Create your own emoji with Deep Learning. We will classify human facial expressions to filter and map corresponding emojis or avatars.

Learn Transfer Learning for Deep Learning by implementing the project.

Project walk-through on Convolution neural networks using transfer learning. From 2 years of my master’s degree, I found that the best way to learn concepts is by doing the projects.

Deep Learning With Python | Deep Learning Tutorial For Beginners

Deep Learning with Python tutorial will help you understand what is deep learning, applications of deep learning, what is a neural network, biological versus artificial neural networks, activation functions, cost function, how neural networks work, and what gradient descent is. Finally, we'll code a neural network in Python using TensorFlow.

PyTorch for Deep Learning | Data Science | Machine Learning | Python

PyTorch for Deep Learning | Data Science | Machine Learning | Python. PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning. Python is a very flexible language for programming and just like python, the PyTorch library provides flexible tools for deep learning.

Deep Learning Tutorial with Python | Machine Learning with Neural Networks

In this video, Deep Learning Tutorial with Python | Machine Learning with Neural Networks Explained, Frank Kane helps de-mystify the world of deep learning and artificial neural networks with Python!