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INDUSTRIAL FINISHING: AEROSPACE COATINGS



           HOW AUTONOMOUS ROBOTICS


           TECHNOLOGY ENABLES


           A RETHINK FOR AEROSPACE


           COATING PROCESSES





           By Robert Ravensbergen



              inishing and coating processes are in part so demanding    then proceed to its goal. Manipulation – in this case we’re truly
              because they are so visible. Customers and end users for   thinking of “C3PO” type machines – refers to how the robot would,
         Fproducts expect consistent and defectless outputs for new   in our example, pick up the cup, carry it and place it down again.
         or refinished products and hence expect parts or finished goods to   In the case of autonomy for value-added processes, localization
         be flawless upon delivery.                         specifically requires an identification of where the robot and the
           The scale of customer expectations isn’t the only coatings   part being processed are placed.  The planning involves process
         challenge specific to the aerospace industry either. Specific   constraints and the manipulation involves the execution of action
         measurements and compliance needs make each process tedious   on a spray gun or nozzle to achieve a specified outcome.
         and unique, which becomes all the more difficult in the face of   Obviously, a range of understanding can apply here, but in the
         continued shortages in the highly refined skilled labor to meet   case of spray finishing processes, precision is usually not required
         production goals.                                  below one millimeter for accuracy approximating that of a skilled
           While automation solutions exist for coatings – whether using   human operator to be achieved. With advances in a variety of tech-
         reciprocating arms or robotization in high-volume operations – the   nologies, including sensor fusion, multiple 3D sensors can be used
         automation is rarely flexible enough to meet the precise demands   to simultaneously identify the position, shape and orientation of
         found in aerospace parts. Low-programming solutions like an   complex shapes and parts – including concave parts.
         automated booth don’t adapt enough to concave or complex part   In this case, where the “loop is  closed” and all sensor data is
         shapes, and still produce rework, while robotic solutions that    connected to a robot equipped to generate its own motion program –
         require extensive programming will rapidly become too expensive   the same way a self-driving car has the processing power to know
         as changeover becomes more frequent.               when to turn left or right – a robot can subsequently plan out opera-
           In this circumstance, autonomous robots may offer a way forward   tions to maximize the probability of a consistent output. Instead of
         for high-compliance, high-mix coatings processes. Much the same   behaving the way a human does, where a loose plan or methodology
         way autonomy is bringing new efficiency to self-driving cars and   might be subject to change, a robot can adhere to specific instruc-
         materials handling, autonomous technology for value-added    tions in an unpredictable band of scenarios with the same “robotic”
         processes can effectively drive a process forward to achieve maxi-  precision that robots are of course known for.
         mum consistency and productivity without the wait – the technol-
         ogy is already available today, thanks primarily to the constraints and
         specific needs of value-added processes which permit a market-
         ready solution to be more rapidly delivered. In all cases, this enables
         a rethink of coatings processes. Not just on consistency and quality
         improvements, but also on the variety and order of parts coating,
         improved efficiency across finishing lines and the ability to specify
         parts within value-added processes.

         Consistency and Quality Improvements
         Autonomous robots generally require one input – a goal set– and
         the subsequent resolution of three core problems: localization,
         planning and manipulation. A goal could be “pick up that cup and
         put it on the table across the room”.
           Localization would then refer to the robot’s ability to identify its
         own coordinates in a given known and unknown space, as well as   Above is data from an internal study at an aerospace manufacturer.
         the location of objects that are subject to the goals set for it. Plan-  Autonomous robots can function on a variety of parts with a much higher
         ning refers to the ability for the robot to take obstacles, constraints   degree of consistency than a skilled human operator – not just in degrees
                                                            of thickness but also in consistently achieving full coverage of a part
         or preferred methods into account in how it sequences actions that
                                                            without added time or review.
         28            CANADIAN FINISHING & COATINGS MANUFACTURING                                                                                    JANUARY/FEBRUARY 2021
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