March, 2019


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Combining Automated Advanced Process Control with Feedback to Improve PCB Assembly


Continued from previous page


dition, component proximity, and more. Realizing the Smart Factory Although 2D AOI is still a major


technology in the market, more manufac- turers are adopting 3D AOI to increase board quality. The benefits are clear: put- ting rock-solid faith in inspection toler- ances and reducing efforts to constantly debug inspection programs. Measurement data generated from 3D AOI provides meaningful insights about the process and helps to eliminate the root causes of a defect. 3D SPI, together with 3D AOI, enables manufacturers to accurately con- trol and monitor the solder printing and component placement processes. But with so much data, engi-


neers are hard-pressed to collect, process and implement all the data using traditional techniques and soft- ware. AI and deep learning lay the foundation for machines to learn from the vast amounts of process data col- lected by adjusting the output based on the data inputs and performing tasks to help engineers work more intelligently. This is ideal for volume PCB pro-


duction and helps create a data set for a smart factory. From statistical process control to instant program refinements, AI-powered platforms can intelligently apply real-time data to improve production processes. Going beyond smart factory solutions, manu- facturers can use the same technology to optimize the process and adjust process parameters by exercising com- plex machine-learning algorithms. Realizing a smart factory will


require taking a practical approach to processes and systems, while examin- ing areas to improve productivity. Combining machine learning with 3D measurement data generated during inspection helps manufacturers define inefficiencies and boost line efficiency. Machine learning uses pro- grammed algorithms that receive and analyze input data to predict output values within an acceptable range. As new data is fed to these algorithms, they learn and optimize their opera- tions to improve performance, devel- oping intelligence over time. For example, some tools allow


manufacturers to simultaneously deploy programs and inspection con- ditions across multiple lines, which enhances productivity and, more importantly, data integrity with con- sistent performance. Operators can further improve line maintenance with other tools for real-time monitor- ing to instantly display relevant process parameters at remote loca- tions for immediate analysis and action. Combining multipoint views from SPI, pre-reflow AOI and post- reflow AOI with data management and monitoring allows operators to determine


actionable insights.


However, the adaptation of AI-pow- ered process tools takes optimization to a new level. Converting all the data requires


a simulation tool to review identified defects with accumulated historical data from SMT lines, while avoiding unnecessary downtime. Software tools can reliably allow manufactur- ers to predict the effects from fine- tuning, without stopping the line. Moving forward, an AI-powered plat- form can autonomously render com- plex process optimization decisions


typically reserved for dedicated process engineers. Embracing connectivity is the path to


Combining APC with an artificial intelligence engine is the next step toward the true smart factory.


creating a smart factory. For instance, soft- ware modules can exercise complex algo- rithms to develop closed-loop process rec- ommendations. M2M connectivity drives the smart factory vision one step further by enabling automatic SMT line maintenance. Finally, combining inspection with printers and mounters can enable the network tools to connect and simplify communication across the entire SMT line. Defining the correct process parame-


Continued on page 71


Page 69


Thrives on a Challenge. Loves Variety. The ultimate multi-process inspector for paramount speed, accuracy and ease of use.


AOI


SPI


CMM


SQ3000™ All-in-One Solution Loaded with Powerful Tools that cover Inspection and Measurement for AOI, SPI and CMM.


Fast and highly accurate, repeatable and reproducible measurements for metrology applications in the manufacturing of a wide variety of products such as PCBs, semiconductors and consumer electronics.


The SQ3000™ offers unmatched accuracy with the revolutionary Multi-Reflection Suppression (MRS) technology by meticulously identifying and rejecting reflections caused by shiny components. Effective suppression of multiple reflections is critical for accurate measurement, making MRS an ideal technology solution for a wide range of applications including those with very high quality requirements.


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