Phase change materials for thermal energy storage

This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focusses on business applications of data mining.Methods are presented with simple examples, applications are reviewed, and relativ advantages are evaluated.

http://cbafiles.unl.edu/public/cbainternal/facStaffUploads/AdvancedDataMiningTechniques.pdf

Advanced Data Mining Techniques

https://pure.aber.ac.uk/portal/files/73231/FS-PSO.pdf

Feature selection based on rough sets and particle swarm optimization

Developments in organic solid–liquid phase change materials and their applications in thermal energy storage

http://www-personal.umich.edu/~ykoren/uploads/Assembly_System_Design_and_Operations.pdf

Assembly system design and operations for product variety

Cooling of portable hand-held electronic devices using phase change materials in finned heat sinks

Feature extraction using rough set theory and genetic algorithms--an application for the simplification of product quality evaluation

Experimental studies on the use of a phase change material for cooling mobile phones

The cooling process is of great importance in plastic injection moulding as it has a direct impact on both productivity and product quality. Cooling process optimization is a sophisticated task which includes not only the design of cooling channels but also the selection of process parameters. Most existing optimization systems focus on either cooling channel design or process parameter selection but not both. This paper explores an approach to optimize both cooling channel design and process condition selection simultaneously through an evolutionary algorithm. The prototype system proposed in this paper is an integration of the genetic algorithm and CAE (Computer-Aided Engineering) technology. The aim is to launch a computerized system that can guide the optimization of the cooling process in plastic injection moulding. The objective is to achieve the most uniform cavity surface temperature to assure product quality.

An evolutionary approach for cooling system optimization in plastic injection moulding

This paper presents a novel approach and system for the automatic generation, selection and evaluation, optimisation, and simulation of assembly plans. The information and knowledge about a product and its assembly (e.g. assembly constraints, solid model and CAD database, heuristic rules) are described using a hybrid approach and model with numeric and symbolic representation. A new methodology is presented to generate all feasible assembly sequences of the product by reasoning and decomposing the feasible subassemblies, and representing them by the assembly Petri net modelling. Qualitative strategic constraints are then used to evaluate the feasible assembly sequences. In order to obtain a good assembly sequence, some quantitative criteria such as assembly time and cost, workstation number, operator number, and part priority index are applied to select the optimal assembly sequence. Based on DFA analysis, MTM time analysis, and assemblability analysis, estimates are made of the assembly time and cost of the product when each of these sequences is used. A knowledge-based system KAPSS has been developed to achieve the integration of generation, selection evaluation, and visualisation of the assembly sequences.

Sai Cheong Fok

Papers

Cooling of portable hand-held electronic devices using phase change materials in finned heat sinks

Feature extraction using rough set theory and genetic algorithms--an application for the simplification of product quality evaluation

Experimental studies on the use of a phase change material for cooling mobile phones

An evolutionary approach for cooling system optimization in plastic injection moulding

Integrated knowledge-based assembly sequence planning