Abstract:
Polyethylene laminates, having a printing film (3) and a sealing film (5), form an effective direct contact heat seal when subjected to conventional direct contact heat sealing conditions.
Abstract:
A method of monitoring a processing system (100, 200, 300) in real-time using low-pressure based modeling techniques that include processing one or more of wafers (W) in a processing chamber (50, 104, 202); determining a measured dynamic process response for a rate of change for a process parameter; executing a real-time dynamic model to generate a predicted dynamic process response; determining a dynamic estimation error using a difference between the predicted dynamic process response and the expected process response; and comparing the dynamic estimation error to operational limits.
Abstract:
A method of monitoring a thermal processing system (100, 200) in real-time using a built-in self test (BIST) table that includes positioning a plurality of wafers (W) in a processing chamber (202) in the thermal processing system (100, 200); executing a real-time dynamic model (330) to generate a predicted dynamic process response for the processing chamber (202) during the processing time; creating a first measured dynamic process response; determining a dynamic estimation error using a difference between the predicted dynamic process response and the measured dynamic process response; and comparing the dynamic estimation error to operational thresholds established by one or more rules in the BiST table.
Abstract:
A method of monitoring a processing system (100, 200, 300) in real-time using low-pressure based modeling techniques that include processing one or more of wafers (W) in a processing chamber (50, 104, 202); determining a measured dynamic process response for a rate of change for a process parameter; executing a real-time dynamic model to generate a predicted dynamic process response; determining a dynamic estimation error using a difference between the predicted dynamic process response and the expected process response; and comparing the dynamic estimation error to operational limits.
Abstract:
An adaptive real time thermal processing system is presented that includes a multivariable controller. The method includes creating a dynamic model of the MLD processing system and incorporating virtual sensors in the dynamic model. The method includes using process recipes comprising intelligent set points, dynamic models, and/or virtual sensors.
Abstract:
An adaptive real time thermal processing system is presented that includes a multivariable controller. The method includes creating a dynamic model of the MLD processing system and incorporating virtual sensors in the dynamic model. The method includes using process recipes comprising intelligent set points, dynamic models, and/or virtual sensors.
Abstract:
Laminates comprising a foamed polyethylene layer reduces material costs but yet can be used to make user-acceptable bags and other containers to hold consumable products (such as a dry laundry detergent) that withstand the rigors of manufacturing and transporting.
Abstract:
A method of monitoring a single-wafer processing system (100, 200, 300) in real-time using low-pressure based modeling techniques that include processing a wafer (W) in a processing chamber (50, 104, 202); determining a measured dynamic process response for a rate of change for a process parameter; executing a real-time dynamic model to generate a predicted dynamic process response; determining a dynamic estimation error using a difference between the predicted dynamic process response and the expected process response; and comparing the dynamic estimation error to operational limits.
Abstract:
An adaptive real time thermal processing system is presented that includes a multivariable controller (260). Generally, the method (1600) includes creating a dynamic model of the thermal processing system (1630); incorporating reticle/mask curvature in the dynamic model; coupling a diffusion-amplification model into the dynamic thermal model; creating a multivariable controller; parameterizing the nominal setpoints into a vector of intelligent setpoints (1650); creating a process sensitivity matrix; creating intelligent setpoints using an efficient optimization method and process data; and establishing recipes that select appropriate models and setpoints during run-time.
Abstract:
Methods for adaptive real time control of a system for thermal processing substrates, such as semiconductor wafers and display panels. Generally, the method includes creating a dynamic model (904) of the thermal processing system (900), incorporating wafer bow in the dynamic model (904), coupling a diffusion-amplification model into the dynamic thermal model (904), creating a multivariable controller (922), parameterizing the nominal setpoints, creating a process sensitivity matrix, creating intelligent setpoints using an efficient optimization method and process data, and establishing recipes that select appropriate models and setpoints during runtime.