BMW Automates Measuring Using Optical White Light Sensors
I
n July of 2016, BMW announced it is using a fully- automated optical measuring cell in its pilot plant in Munich. Two robot arms combined with what are shown as structured light systems from accompany- ing press photos collect 3D data to an accuracy of less than 100 μm.
This is an advance over a confi guration with a
single robot arm. Data is now collected in half the time. Each sensor captures surface patches of 80 × 80 cm that are combined in software to create a 3D map of the entire vehicle.
Their optical measuring cell is used at “the interface between development and series produc- tion.” According to the company, analysis of the data quickly shows deviations, allowing technical integration specialists in the BMW Production division to respond. The company said this fully-automated optical
The BMW automated measuring cell featuring what appears to be two ATOS Triple Scan 16M structured light scanners.
measuring cell is gaining increasing importance within the BMW Group. This technology has been successfully used in toolmaking in Munich since 2015.
features with high precision or relatively small features, such as micro or precision manufacturing, whenever tolerances are in the range of 20 μm or less,” Scherer said. To work optimally, Focus Variation requires an Ra
surface roughness
of 9 nanometers or more. Data speed is up to 1.7 million points per second. After fi rst achieving success in measuring edge prepara- tions for cutting tools, the company expanded its offerings, automating its sensors.
Automation is crucial to Scherer’s vision of a smart eye, and the company turned to collaborative robots, or cobots, in doing so. Why cobots? “We see a shift towards higher precision and at the same time less volume. In previous times, a manufacturer might make a million parts. Today, they might make 50,000 of one kind of part and then switch to producing 75,000 of another,” he said. He believes cobots enable workers in these fl exible manufacturing environments, making them useful and adding value. “We have a cobot mounted on a mobile platform to bring it more easily to a ma- chining center,” he said. The user checks a few key param- eters to set up the machine for making the next set of part numbers, and then moves on to the next task. The newest offerings from Alicona are two new cobot products for defi ned applications, one for long round tools
and the other for turbine disks. The tool solution expands Alicona’s expertise in edge prep measurement with nine-axis measurements on a wheeled portable platform. With the Alicona disk solution, the robot arm with at- tached measuring sensor is manipulated by an operator to the desired surface position. Two handles with integrated joystick are mounted on the sensor. By means of an app, a smartphone displays the live view for either manual or auto- matic precise positioning and measurement.
Standard Solutions, Flexible Automation Another common trend is developing a standard automa- tion solution around existing metrology devices. Metrology companies are now offering standard solutions that integrate robots, enclosures, and fi xturing. Usually aimed at a class of problems, they can be tailored to meet a manufacturer’s throughput and tolerance requirements. In 2014, Hexagon Manufacturing Intelligence (North Kingston, RI), introduced the 360 Smart Inline Measurement System, or 360 SIMS, using its WLS (white light scanner) structured light devices. According to Hexagon, an in-line system built around a WLS is ideal for automotive body-in- white production because the WLS is relatively insensitive to nearby vibration—it collects data in milliseconds. Making
March 2017 |
AdvancedManufacturing.org 69
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92