Javascript must be enabled to continue!
Substrate Centering Method for Robotized Semiconductor Manufacturing Systems
View through CrossRef
This paper describes a method for on-the-fly determination of eccentricity of a circular silicon substrate carried by a robotic manipulator in semiconductor manufacturing applications, where eccentricity refers to the difference between the actual location of the center of the substrate and its desired position on the end-effector of the robotic manipulator. The method utilizes a pair of external optical sensors located along the substrate transfer path. When moving a substrate along the transfer path, the robotic manipulator captures the positions and velocities of the end-effector at which the edges of the substrate are detected by the sensors. These data along with the expected radius of the substrate and the coordinates of the sensors are used to determine the eccentricity of the substrate. This information can be used by the robotic manipulator to compensate for eccentricity of the substrate when performing a place operation, resulting in the substrate being placed centered regardless of the amount and direction of the initial eccentricity. The method can also be employed to detect a defect, such as breakage, of a substrate and report an error condition which can abort or otherwise adjust operation of the robotic manipulator.
Title: Substrate Centering Method for Robotized Semiconductor Manufacturing Systems
Description:
This paper describes a method for on-the-fly determination of eccentricity of a circular silicon substrate carried by a robotic manipulator in semiconductor manufacturing applications, where eccentricity refers to the difference between the actual location of the center of the substrate and its desired position on the end-effector of the robotic manipulator.
The method utilizes a pair of external optical sensors located along the substrate transfer path.
When moving a substrate along the transfer path, the robotic manipulator captures the positions and velocities of the end-effector at which the edges of the substrate are detected by the sensors.
These data along with the expected radius of the substrate and the coordinates of the sensors are used to determine the eccentricity of the substrate.
This information can be used by the robotic manipulator to compensate for eccentricity of the substrate when performing a place operation, resulting in the substrate being placed centered regardless of the amount and direction of the initial eccentricity.
The method can also be employed to detect a defect, such as breakage, of a substrate and report an error condition which can abort or otherwise adjust operation of the robotic manipulator.
Related Results
Unveiling the Environmental and Economic Implications of Additive Manufacturing on Inbound Transportation
Unveiling the Environmental and Economic Implications of Additive Manufacturing on Inbound Transportation
This studyaims to investigate the impact of additive manufacturing (AM) on the sustainability of inbound transportation. By combining insights from existing litera...
Smart Manufacturing Application in Precision Manufacturing
Smart Manufacturing Application in Precision Manufacturing
Industry 4.0 presents an opportunity to gain a competitive advantage through productivity, flexibility, and speed. It also empowers the manufacturing sector to drive the sustainabi...
Concurrent Engineering and the Virtual Factory: Developing Products With Supply Chains
Concurrent Engineering and the Virtual Factory: Developing Products With Supply Chains
Abstract
Several recent developments have led to significant changes in the way new products are developed. The emphasis on core competency has resulted in having ma...
Consciousness of God as God is: The phenomenology of Christian centering prayer
Consciousness of God as God is: The phenomenology of Christian centering prayer
<p>In this study I aim to give an alternative approach to the way we theorise in the philosophy and comparative study of mysticism. Specifically, I aim to shift debate on the...
Provisioning Service Resources for Cloud Manufacturing
Provisioning Service Resources for Cloud Manufacturing
Cloud manufacturing is a new service-oriented networked manufacturing paradigm which can integrate various physical manufacturing resources and manufacturing capacities and provide...
A Mobile Additive Manufacturing Robot Framework for Smart Manufacturing Systems
A Mobile Additive Manufacturing Robot Framework for Smart Manufacturing Systems
Abstract
Recent technological innovations in the areas of additive manufacturing and collaborative robotics have paved the way toward realizing the concept of on-dem...
Analysis of Seismic Performance of the New Self-centering Buckling Restrained Brace
Analysis of Seismic Performance of the New Self-centering Buckling Restrained Brace
Abstract
A new structure of self-centering buckling restrained brace was proposed. The finite element model was established by ABAQUS software. The mechanical failur...
Root System Distribution Influences Substrate Moisture Measurements in Containerized Ornamental Tree Species
Root System Distribution Influences Substrate Moisture Measurements in Containerized Ornamental Tree Species
Substrate moisture sensors offer an affordable monitoring system for containerized tree production. However, root system distribution can vary greatly among species within ornament...

