<p>The automation of linear stages plays a vital role in improving large-area pattern generation within modern manufacturing systems. In this study, a precision-based automated linear stage has been integrated with an in house developed hot embossing setup to achieve reliable, high-speed, and repeatable motion over wide working areas. The setup combines X–Y precision tables, stepper motors equipped with feedback controllers, and linear guideways to maintain high positional accuracy. Structural behavior of the assembly under static loading was evaluated through ANSYS simulations, emphasizing deformation, stress, and strain analysis to validate the system’s mechanical integrity. The design has been refined to ensure dimensional accuracy, minimize vibration effects, and maintain smooth surface quality through efficient thermal management. This system can be applied in areas such as microchannel formation, printed electronics, and optical device fabrication. Future developments may involve AI-based optimization, robotic handling, and integration into hybrid manufacturing environments.</p>

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Development of an automated linear stage for large area pattern generation embedded with a hot embossing setup

  • Subir Datta,
  • Arjyajyoti Goswami

摘要

The automation of linear stages plays a vital role in improving large-area pattern generation within modern manufacturing systems. In this study, a precision-based automated linear stage has been integrated with an in house developed hot embossing setup to achieve reliable, high-speed, and repeatable motion over wide working areas. The setup combines X–Y precision tables, stepper motors equipped with feedback controllers, and linear guideways to maintain high positional accuracy. Structural behavior of the assembly under static loading was evaluated through ANSYS simulations, emphasizing deformation, stress, and strain analysis to validate the system’s mechanical integrity. The design has been refined to ensure dimensional accuracy, minimize vibration effects, and maintain smooth surface quality through efficient thermal management. This system can be applied in areas such as microchannel formation, printed electronics, and optical device fabrication. Future developments may involve AI-based optimization, robotic handling, and integration into hybrid manufacturing environments.