Pavan Muzumdar

COO 
Automation Alley
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Accelerating the World’s Largest 3D Printing Network

3D printing is transforming manufacturing, increasing speed-to-market, lowering costs, and reducing waste—and it’s not just for the largest corporations anymore. A Michigan-based additive-manufacturing (AM) network of 300 small- and medium-sized manufacturers, called Project DIAMOnD, is proving the future of digitally connected supply chains for AM.

Join Pavan Muzumdar, Automation Alley COO and Project DIAMOnD CEO, as he shares lessons learned from Phase 1 of Project DIAMOnD and discusses the importance of creating standard frameworks within the global manufacturing ecosystem.

    

    

Bryan Sapot

CEO 
Mingo Smart Factory
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Scott Stookey

Director of Data Strategy and Analytics 
Elsa LLC
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Manufacturing Analytics: Where’s the Value?

Utilization of the aging equipment is at an all-time high, creating the need to increase the performance of these lines or replace the equipment all together. The most successful manufacturers are the ones that can collect, understand, and leverage this data to make smart purchasing and engineering decisions to give them a competitive edge.

Joining Sapot will be Scott Stookey, director of sales strategy and analytics at Tier One automotive supplier Elsa, LLC. Elsa has the Mingo Smart Factory digital toolset deployed on dozens of lines and has thousands of users. Learn how the company managed the installation projects and maximizes the value it gains from the smart-factory systems.

    

    

Guilherme Galante

Sales Manager 
Schuler Incorporated
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Digitization of the Stamping Industry

Industry 4.0, Industrial Internet of Things (IIOT), and digitalization all subscribe to the same objective for metalformers: a state-of-the-art stamping facility—also known as, the “Press Shop of the Future.” Guilherme Galante will present practical how-to solutions for making production smarter.

Schuler North America will showcase key technologies that maximize overall equipment effectiveness (OEE), implement digitalization practices, and conduct smart press shop planning. Attendees will learn about the evolutionary process, the current market status, and the expectations of digitalization in stamping facilities.

“Zero-failure” production is around the corner, but the Press Shop of the Future starts today.

    

    

Simone Bonino

VP of Business Development, Manufacturing Solutions 
Altair Engineering, Inc.
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Case Study: Supporting Strategic Decision Making with Digital Twin Implementation at Patrone e Mongiello

In the metalforming industry, simulation of processes and the resulting material behavior has become a highly valuable standard practice. The investigation of key process parameters, such as material flow, temperature range, required press tonnage, as well as resulting material characteristics including strength, residual stresses, thinning - has been supported for quite some time by finite element analysis (FEA) simulation, replacing costly physical tryouts.

The knowledge gained from simulation can now be combined with data acquired from sensors on the actual press and tooling, gaining valuable insights on ever-varying process conditions, with the ability to generate a dashboard of the key performance indicators (KPIs) and support strategic decision making.

The presentation will showcase a digital twin implementation at Patrone e Mongiello, an automotive supplier of metal stamped parts located in Europe (Italy and Poland), utilizing Altair’s software toolset and technical expertise.

Relying on machine learning (ML) algorithms using reduced order modeling (ROM) techniques and advanced data visualization, an IoT-based dashboard for the combined visualization of actual data and derived KPIs has been created.

Analyzing the evolution of dimensional and process parameters during production allowed the customer to quickly make strategic decisions, evaluating the impacts of – as an example – a batch of material with different characteristics or varying blankholder pressure, enabling corrections to production parameters in real time.

The outcome of the process has been an increased efficiency and environmental sustainability of processes and metal formed products via the integration of the digital twin into the company’s digital factory IT architecture.

    

    

John Francis

Vice President of Automation 
Lupine Research (a division of Weiss-Aug Group)
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Machine Learning and Artificial Intelligence for Quality Control and Inspection

This presentation will be an overview of AI and the application of machine vision to solve industrial quality control problems. It will share details from case studies and successful applications of machine learning, using hardware and software tools offered by Lupine Research.

    

James Sharp

InduSuite Manager 
ESAB
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Improve Welding and Cutting Workflow by Connecting Data, Machinery and Processes

Take welding and cutting productivity to the next level by completely optimizing workflows by using software applications compatible with all major welding, cutting and robotics systems.

    

    

Mo Abuali

    

CEO and Managing Partner 
IoTco

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Driving Zero Downtime: A Predictive-Maintenance Case Study at the Pressroom of A. O. Smith

Reducing unplanned downtime and minimizing scrap by even a few percentage points can yield significant savings for manufacturers. This presentation will discuss a real-world application at water-heater manufacturer A.O. Smith Corp., which leverages the Industrial Internet of Things (IIoT), machine learning and metrics to optimize shop-floor efficiency and productivity, and implement predictive maintenance for in its pressroom. The presenters also will discuss the digital tools of the trade that support Industry 4.0 with a systematic approach, with a focus on connectivity and data management, as well as the return on investment that can be wrung from maintenance and Quality 4.0 projects.

    

    

Montez King

Executive Director 
NIMS
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NIMS Smart Standards Framework and Job-Specific Industry 4.0 Roles

Smart Standards is part of NIMS Smart Training Solutions framework. Smart Standards is a dynamic duty-based system that identifies responsibilities associated with industry-recognized job roles. We’ll take a look at standards for Industry 4.0 job roles and how they overlay with metalforming. Experience life changing tips for modernizing your training to keep up with the pace of emerging technologies and change in the workplace.

    

    

Donna Peterson

CEO 
World Innovators
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Empowering Manufacturers with AI and ChatGPT

In this presentation, we will explore how the integration of AI and ChatGPT can revolutionize the manufacturing sector by automating processes, and improving efficiency to developing trust-building marketing campaigns. Equip yourself with the insights to choose the optimal AI integration for your unique business, opening the gateway to the future of manufacturing.

    

    

Peter Schulte

    

Manager of Application Engineering 
Markforged

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3D Printing of Robotic End-of-Arm Tooling

Virtually everywhere that automation has been introduced into manufacturing, packaging, and processing, robots or cobots have been integrated as part of these modernization initiatives. Additive manufacturing can bring improvements in design, efficiency, capacity and speed to these emblematic tools of the future of industry.

Join Peter Schulte as he shares ways in which Markforged metal and composite 3D printing is changing the ways in which robotic end-of-arm tooling can be designed and manufactured, and how end-users can best leverage these capabilities within their own facilities.

    

    

Craig Rice

Director of Manufacturing Engineering 
Clips & Clamps Industries
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Case Study: Managing the Data Stream from the Shop Floor to the Front Office

Rice’s presentation will cover:

• How to determine what data to collect
• Developing the system on paper and getting buy-in from stakeholders
• Importance on developing a Statement of Work, including all test requirements for both server and machine sides