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Noah Graff, used machine tool dealer and editor of Today’s Machining World, interviews machining company owners, equipment gurus, and experts with insight to help and entertain people working in the machining field. We discuss topics such as how to find quality employees, customer acquisition, negotiation, and the best CNC equipment options for specific jobs. Economia Gestione e leadership Leadership
  • Business School vs. Learning on the Job, with Robby Burton and Blake Schultz-EP 276
    Oct 20 2026

    Robby Burton co-owns AG Drives, a drive shaft company in Green Bay. Blake Schultz is its director of business development. Robby’s grandfather started the company. Blake’s dad worked for Robby’s grandfather. Both families have been in the business for decades.

    When Robby took over, he was in his mid-twenties and brought in his friends from high school. None of them knew anything about business. His garage was so full of parts he couldn’t park his car. He had a newborn at home. Some of the machining happened on a lathe in a friend’s backyard.

    Now they have their own shop. This past year the business grew more than 300 percent.

    More show notes to come soon.

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    Link to Graff-Pinkert’s Acquisitions and Sales promotion!

    The post Business School vs. Learning on the Job, with Robby Burton and Blake Schultz-EP 276 appeared first on Today’s Machining World.

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    48 min
  • See the Part Before You Cut It, with Greg Walker and Bob Folts–EP 275
    Oct 6 2026
    I was touring a shop once, and the owner told me the engineers can draw up whatever they want. It never comes out like that on the machine.

    At IMTS, I brought that up with Greg Walker and Bob Folts of Spacial Integrated Systems. They told me it can. As long as you’re honest with the software.

    Greg is president and co-owner of SIS, a Siemens partner based in Broadlands, Virginia. They sell and support Siemens software, primarily for aerospace, defense, and federal customers. Bob is their advanced manufacturing expert for federal work. He has over 50 years in tooling and defense manufacturing, and he started out cutting cams on Brown & Sharpe screw machines.

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    Link to Graff-Pinkert’s Acquisitions and Sales promotion!

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    High Lights Your Machine, Not the Perfect One

    Everything starts with a digital twin. That’s a digital version of your machine, part, or process that behaves like the real thing.

    I asked what happens when the machine isn’t in great shape. Bob said you scan it and enter the kinematics. If the ball screws have backlash, you program the backlash in. Then the simulation matches what you’ll actually get.

    “You have to be honest with it,” Bob said.

    He says he’s in shops all the time explaining why their virtual results don’t match the real world. Usually it’s machine tolerances nobody put into the model.

    It works on old cam machines too. You model the cams, the throws, and all the parameters, then watch the machine run in the computer. Newer multi-spindles, including many INDEX machines, run Siemens controls that connect directly. Other controls need an edge device added to the machine.

    Watch It Cut First

    The workflow starts with the part in CAD. In CAM, the programmer lays out every operation from raw stock to finished part, and the software suggests toolpaths, passes, and speeds and feeds.

    Then you run the G code through the simulation. On screen, a 3D model of the stock gets cut as the tools change and remove metal. If you programmed something wrong or there’s a collision, it tells you. You fix it and run it again. Bob runs it two or three times before he posts it to the machine.

    You still mic the part afterward. Bob’s claim is that it’ll be very close, if not perfect.

    I asked whether I could override the software when I think I know better. You can. Bob admitted that sometimes his override was wrong. The force on the tool pushed the part out of tolerance, and he had to dial it back.

    “If you really listen to what the CAM system is giving you, you’ll come out with a good part just about every time,” he said.

    135 Percent on the Way In

    Greg brought up a Siemens feature called adaptive control. The machine can come in at 135 percent, then drop to around 75 percent when the tool engages the part. The result is a faster cycle time and longer tool life.

    The Bigger Payoff Is the Factory

    Honestly, I wasn’t sure the ROI was there on a single machine. Somebody can always trial-and-error their way to a good part.

    Greg and Bob see the bigger payoff on a whole line. Bob’s example was an assembly line with people, overhead cranes, and a moving line, all in one simulation.

    At the show, Greg said they heard from more companies than ever that were expanding, building a new factory, or buying an old one. They wanted help setting it up with Siemens plant simulation.

    That lines up with our M&A work. More buyers are asking us to find them another factory. Once they buy it, they have to integrate it.

    Greg also made a point that this isn’t only for big companies. SIS works with startups putting $1 million to $5 million into a new operation and sells them the software at a steep discount.

    Would you trust a simulation of your machine before cutting the first part?

    The post See the Part Before You Cut It, with Greg Walker and Bob Folts–EP 275 appeared first on Today’s Machining World.

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    48 min
  • Why Make a Robot That Looks Like Us, With Phil Zheng-EP 274
    Sep 22 2026
    A few years ago, Richtech Robotics would call hospitality groups and offer them robots. They got laughed out of the office. The answer was always the same. We’re a people company. Now they’re building an 8,000 square foot factory in Las Vegas. Three production lines for robots and sensors, all managed by AI. They’d planned it for 2027, but a new FCC rule made them move it up to this year. I talked with Richtech’s COO, Phil Zheng, at IMTS. He told me why their humanoid robots have eyes that don’t do anything. Why Chinese citizens might not love robots as much as they seem to. And why even the people building this stuff are surprised how fast AI and robotics are moving. ************* Listen on your favorite podcast app using pod.link. . View the podcast at the bottom of this post or on our YouTube Channel. Follow us on Social and never miss an update! Facebook: https://www.facebook.com/swarfcast Instagram: https://www.instagram.com/swarfcast/ LinkedIn: https://www.linkedin.com/company/todays-machining-world Twitter: https://twitter.com/tmwswarfblog ************* Link to Graff-Pinkert’s Acquisitions and Sales promotion! ************* The Robot Has to Match the Data Standing at the Richtech booth, I asked Phil why the robots look like people. The eyes are the giveaway. He admitted straight out that they aren’t meant to do anything. His answer had three parts, and only one of them was about looks. The first is the work cell. Most jobs on a production floor are done by a person standing at a station using two hands. If you bring in a robot shaped differently, you have to rebuild the station around it. That costs money and time. A robot with two arms drops into what’s already there. The countertops are already built for us. The second reason is the one I hadn’t thought about. It’s the training data. Most robot training today comes from teleoperation, where a person puts on goggles and gloves and drives the robot’s arms directly. That’s where the data comes from. So the robot has to have the same shape as the person generating it. You can’t train a robot to work in a shape no human has, because there’s no human in that shape to show it how. The third reason is the simplest. People like it. They want the head and the eyes. They’ll give the machine a personality, or a name. Robots That Watch Each Other Work The humanoid is the thing people take pictures of, but it isn’t the whole pitch. Richtech’s robots are meant to work as a group. Phil walked me through the table. One robot does assembly and small parts handling, picking and placing, and it comes both mobile and mounted. You don’t want that one hauling things around, so delivery robots move items between stations. Behind them were autonomous pallet jacks for the heavy work. Tying them together is a fleet management tool and an AI layer that runs all of them. Every robot carries sensors and feeds data back. Phil’s argument for why that matters was the sharpest thing he said all interview. Right now a person does a step and hands the work to the next person, and nobody has real visibility into what happened in between. With robots, you can see the moment a screw went into a board and how long it took. The Las Vegas factory is where they prove it out. Sensor assembly on one line, robot assembly on the others, running by the end of this year. We’re a People Company The rejection Phil got in the early days wasn’t subtle. He’d call a large hospitality group that couldn’t fill its openings after the pandemic, offer them robots, and get laughed at. We’re a people company. He says that’s changed. Not because anyone got excited about it, but because people accepted it was going to happen anyway. I asked about China, since the usual story is that they want robots and we don’t. Phil pushed back on that. He’s ethnically Chinese and he was direct about it. He says regular people in China see robots the same way Americans do, as a threat to their jobs. The difference, he believes, isn’t enthusiasm. It’s that the government and the company owners have the power to install them, and nobody gets asked. In the US we argue about it out loud. The part he keeps coming back to is the speed. He says it’s moving faster than any technology of this magnitude ever has, and that it’s designed to only go faster. The post Why Make a Robot That Looks Like Us, With Phil Zheng-EP 274 appeared first on Today’s Machining World.
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    32 min
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