Model-based computer-aided design for controlled release of pesticides

A number of automated reasoning systems find their basis in process control engineering. These programs are often model-based and use individual frames to represent component functionality. This representation scheme allows the process system to be dynamically monitored and controlled as the reasoning system need only simulate the behavior of the modeled system while comparing its behavior to real-time data. The knowledge acquisition task required for the construction of knowledge bases for these systems is formidable because of the necessity of accurately modeling hundreds of physical devices. We discuss a novel approach to the capture of this component knowledge entitled automated knowledge generation (AKG) that utilizes constraint mechanisms predicated on physical behavior of devices for the propagation of truth through the component model base. A basic objective has been to construct a complete knowledge base for a model-based reasoning system from information that resides in computer-aided design (CAD) databases. If CAD has been used in the design of a process control system, then structural information relating the components will be available and can be utilized for the knowledge acquisition function. Relaxation labeling is the constraint-satisfaction method used to resolve the functionality of the network of components. It is shown that the relaxation algorithm used is superior to simple translation schemes.

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Model Based Rigid Body Guidance in Presence of Nonconvex Geometric Constraints

Journal of Mechanisms Transmissions and Automation in Design ◽

10.1115/1.3259039 ◽

1989 ◽

Vol 111 (4) ◽

pp. 570-580 ◽

Cited By ~ 1

Author(s):

T. S. Ku ◽

B. Ravani

Keyword(s):

Rigid Body ◽

Motion Planning ◽

Mobile Robots ◽

Line Segment ◽

Efficient Algorithm ◽

Computer Aided Design ◽

Geometric Constraints ◽

Model Based ◽

Computer Aided ◽

Aided Design

This paper presents an efficient algorithm for guidance of a convex rigid body in-between nonconvex polygonal objects in a Computer-Aided Design (CAD) environment. A shrinking procedure is used that separates the kinematic from the shape constraints by reducing the problem to that of guidance of a line segment in an expanded environment. A slicing technique together with an algorithm for decomposition of the interface channel between the nonconvex objects is used to generate the motion program for the line segment. The results can be applied to model based guidance of mobile robots or automatic motion planning for robot manipulators.

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Computer-aided-design tool for simplification of robot dynamic model based on manipulator system performance

International Journal of Control ◽

10.1080/00207179108953670 ◽

1991 ◽

Vol 53 (5) ◽

pp. 1205-1232

Author(s):

PO-RONG CHANG

Keyword(s):

Dynamic Model ◽

System Performance ◽

Computer Aided Design ◽

Design Tool ◽

Model Based ◽

Computer Aided ◽

Aided Design

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Customized Encryption of Computer Aided Design Models for Collaboration in Cloud Manufacturing Environment

Journal of Manufacturing Science and Engineering ◽

10.1115/1.4030592 ◽

2015 ◽

Vol 137 (4) ◽

Cited By ~ 20

Author(s):

Xiantao Cai ◽

Weidong Li ◽

Fazhi He ◽

Xiaoxia Li

Keyword(s):

Computer Aided Design ◽

Cloud Manufacturing ◽

Geometric Transformation ◽

Cad Model ◽

Manufacturing Environment ◽

User Friendliness ◽

Partial Encryption ◽

Model Based ◽

Computer Aided ◽

Aided Design

Computer aided design (CAD) models reflect design goals, intentions, and functions so that they are the key intellectual properties of companies. In a Cloud manufacturing environment, how to effectively protect the sensitive feature information for a model owner while enabling the owner to flexibly share the rest of the CAD model with collaborators is an important yet challenging research issue. In this paper, an innovative partial encryption approach, which is able to represent a CAD model into the granularity of sharing information in order to address various collaboration scenarios and customized requirements from the model owner and collaborators, is presented. The approach is composed of a customized encryption algorithm for a CAD model, a key based customized authorization algorithm for collaborators to decrypt shared features in the model, and a customized geometric transformation method to support the effective protection model-based visualization of the model for collaboration. With this approach, a CAD model can be flexibly encrypted to realize partial sharing of features and safe protection of the rest of the model according to collaboration requirements. Meanwhile, during encryption and decryption, the CAD model is always manifold no matter which feature is encrypted or decrypted to ensure user friendliness, model validity, and robustness of the approach. A case study is used to verify and illustrate the effectiveness of the approach. This research is a new attempt to design a content-based and customized encryption approach applicable to CAD model-based collaboration in a Cloud manufacturing environment.

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Model Based Rigid Body Guidance in Presence of Non-Convex Geometric Constraints

14th Design Automation Conference ◽

10.1115/detc1988-0009 ◽

1988 ◽

Author(s):

T. S. Ku ◽

B. Ravani

Keyword(s):

Rigid Body ◽

Motion Planning ◽

Mobile Robots ◽

Line Segment ◽

Efficient Algorithm ◽

Computer Aided Design ◽

Geometric Constraints ◽

Model Based ◽

Computer Aided ◽

Aided Design

Abstract This paper presents an efficient algorithm for guidance of a convex rigid body in-between non-convex polygonal objects in a Computer-Aided Design (CAD) environment. A shrinking procedure is used that separates the kinematic from the shape constraints by reducing the problem to that of guidance of a line segment in an expanded environment. A slicing technique together with an algorithm for decomposition of the interface channel between the non-convex objects is used to generate the motion program for the line segment. The results can be applied to model based guidance of mobile robots or automatic motion planning for robot manipulators.

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Toward co-optimization of renewable fuel blend production and combustion in ultra-high efficiency SI engines

International Journal of Engine Research ◽

10.1177/14680874211040995 ◽

2021 ◽

pp. 146808742110409

Author(s):

Patrick Burkardt ◽

Tamara Ottenwälder ◽

Andrea König ◽

Jörn Viell ◽

Alexander Mitsos ◽

...

Keyword(s):

Process Evaluation ◽

Computer Aided Design ◽

Early Stage ◽

Production Costs ◽

Fuel Production ◽

Renewable Fuel ◽

Model Based ◽

Computer Aided ◽

Stage Process ◽

Aided Design

The shift from fossil to renewable fuels presents an opportunity to tailor a fuel’s molecular structure and composition to the needs of advanced internal combustion engine concepts, while simultaneously aiming for economic and sustainable fuel production. We have recently proposed a method for computer-aided design of tailor-made fuels that integrates aspects of both product and production pathway design. The present paper sets out to sequentially combine that method with experimental investigation on a single cylinder research engine and model-based early-stage process evaluation to create, validate, and benchmark a rationally designed multi-component biofuel for highly boosted spark-ignition engines. To this end, the computer-aided design approach is applied to a network of possible fuel components and their production pathways. The resulting optimal four-component fuel EBCC (50 mol% ethanol, 21 mol% 2-butanone, 15 mol% cyclopentane, and 14 mol% cyclopentanone) is analyzed with regard to combustion performance and estimated fuel production cost. Variations of both the indicated mean effective pressure and the relative air/fuel ratio were performed on an engine equipped with a compression ratio of 14.7. EBCC achieves indicated efficiencies that are significantly higher than those of RON 102 gasoline fuel and comparable to those of pure 2-butanone, an extremely knock-resistant fuel identified in a previous round of model-based fuel design. Furthermore, a strong reduction in engine-out soot emissions is observed compared to RON 102 gasoline. Early-stage process evaluation shows EBCC to have lower estimated fuel production costs than 2-butanone. Production costs of pure ethanol, however, are estimated to be even lower, mainly due to lower plant investment costs and a synthesis pathway that does not require hydrogen. The paper concludes with a brief perspective on further integration of the proposed sequential approach with the goal of co-optimizing the production and combustion of renewable fuel blends.

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