The Connected Machine Shop: Bringing Industry 4.0 to the Shop Floor

This presentation will explain how the application of digital technology will fundamentally transform the machine shop of the future. Learn how to easily implement automated data acquisition and analysis techniques and how this will drive resource efficiency and utilization improvements for all areas of your shop, from planning through verification.

Learning Objectives
• Realize the payoffs of data for end-to-end value stream efficiency through cyber-physical systems
• Understand how to implement digital technologies through all stages of the machining process
• Use data to provide insight to your operation and make real-time adjustments

Why Is It Important?
Globalization, urbanization and changing demographic trends bring challenges to the manufacturing industry. But these trends also bring opportunities for digitalization to increase levels of automation, reduce waste and improved cost and quality control. To remain competitive, today’s manufacturers need to identify and remove key sources of waste along the machining value chain.

Regarded as the most versatile process in the world, waterjet systems allow fabricators to take on any manner of work. The manufacturing industry is undergoing a transformation, and new technologies are consistently pushing boundaries on what we can make and how. Bruno Cicirello will discuss how waterjet technology continues to benefit customers, using several smart approaches to maximize performance which includes productivity, cost, and accuracy driving significant gains in the manufacturing industry.

• An overview of waterjet technology and how it works in a fabricator’s shop
• Streamlining your workflow with waterjet
• How acceleration is a key factor when evaluating technology capabilities
• The industry shift from break-fix to preventative maintenance

3D vision enables robots to recognize and pick up randomly positioned objects straight from a bin. Automating your processes using this object-recognition technology represents an effective way of increasing productivity and reducing costs on a vast range of general material handling applications. No matter whether you are dealing with loose, mixed and irregular items or sacks and bags, equipping a robot with 3D vision provides an efficient handling solution that can be quickly adapted to manage different products in accordance with your order books. With grippers suited to every possible handling eventuality, this kind of flexibility extends to depalletizing, bin picking, sorting and machine tending regardless of the objects involved.

When it comes to their digital presence, many manufacturers are falling behind. Digital ROI is quickly outpacing that of traditional marketing methods, and maintaining a competitive advantage is no longer possible without a focus on digital. Stoney deGeyter will discuss where digital marketing is headed in 2020, comparing it with the costs and ROI of traditional advertising. This presentation will also provide valuable tips and strategies that manufacturers need to be using today in order to stay competitive tomorrow.

Generative design can be used to create load optimized, large scale industrial structures such as automotive chassis, architectural beams and trusses. Generative optimized designs are often 3D printed at small scale, however large-scale hybrid metal additive manufacturing provides opportunity to produce these designs for industrial applications. This presentation will explain how to use generative optimization, apply the result to large scale hybrid metal additive manufacturing and produce an industrial scale optimized architecture.

The dramatic breakthroughs in artificial intelligence (AI) are not what it can do, but who can now use it. Ready-to-run platforms like Microsoft’s Azure AI now allow small and mid-size companies to streamline processes and workflows by discovering patterns and relationships in in their data, content, and images. Kevin Seefried will present case-study examples that demonstrate how companies are leveraging today’s low-cost AI platforms to solve real-world business problems.

This presentation will cover the machine tool construction characteristics necessary for the types of materials to be machined, including the toolpath generation options, the various workholding considerations, new cutting tool advancements, the application of probing routines, implementation of artifacts to confirm the CMM results and machine performance similarities, and corrective actions. Perhaps most importantly in light of trends – automation – part flow analysis, balanced process control, and parts scheduling techniques will also be covered.

Cybersecurity is a concern in manufacturing. All manufacturing organizations must manage cybersecurity risks. This presentation will help manufacturers develop strategies to manage cybersecurity risks.

This presentation will describe the application of artificial intelligence to machining. The innovation is the combination of data-driven and physics-based models to provide hybrid physics-guided data learning approaches that improve the accuracy of model predictions. The research capitalizes on the adoption of the digital thread that links a part’s solid model that is developed using CAD software, CNC instructions produced using CAM software, and the digital twin, which accompanies the part throughout its lifetime.