We consider the problem of fairly dividing a two dimensional heterogeneous good among multiple players. Applications include division of land as well as ad space in print and electronic media. Classical cake cutting protocols primarily consider a one-dimensional resource, or allocate each player multiple infinitesimally small “pieces”. In practice, however, the two dimensional shape of the allo...

In this study, turning operation of Monel K500 copper-nickel super-alloy was evaluated. Ceramic cutting tools with two different cutting noses (conventional and wiper) were utilized. At first, the experimental tests were designed by using central composite design method. After implementation of the tests, the statistical models for output data (surface roughness, cutting force, and flank wear) ...

 In the present study, an attempt has been made to experimentally investigate the effects of cutting parameters on cutting force in end milling of AISI 304 steel with solid carbide tools. Experiments were conducted based on four factors and five level central composite rotatable design. Mathematical model has been developed to predict the cutting forces in terms of cutting parameters such as he...

Machining is the major reliable practice in accomplishment of metal cutting industries. The accelerated growing competition demands top superior and large quantity with low cost products. Metal working fluids have significant fragment of manufacturing cost and causes ecological impacts and health problems. This work attempts to advance a competent machining alignment with no ecological impacts....

Abrasive waterjet is a novel machining process capable of processing wide range of hard-to-machine materials. This research addresses modeling and optimization of the process parameters for this machining technique. To model the process a set of experimental data has been used to evaluate the effects of various parameter settings in cutting 6063-T6 aluminum alloy. The process variables consider...

Artificial neural networks (ANNs) have been successfully applied for solving a wide variety of problems. However, determining of ANN architectural and training parameter values still remains a difficult task. This paper is concerned with the usage of design of experiment (DOE) method in order to determine parameter settings of multilayer feedforward (MLFF) ANN trained with backpropagation (BP) ...

the machine to be designed and developed with a view to resolve one ofthe irksome problems of this institute has been facing every year. this institute issurrounded by vast non- fertile land area of about 200 acres, which becomes widelyoccupied by numerous breads of bushes and shrubs during post-rainy season. due tothis unwanted proliferation of such verdant institute gets abysmal look and that...

Abstract During surface roughness modelling, it is crucial to determine the parameters with highest predictive power since these are outcome drivers. Based on out-of-bag (OOB) mean square error, following Random Forest techniques have been utilized parameter importance: decrease in accuracy and total increase node purity. Validation of results has achieved using Bayesian linear regression techn...