9786206155003 - Tool Condition Monitoring System de Ambhore, Nitin; Chinchanikar, Satish; Kamble, Dinesh (5 resultados)

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is related to design and development of 'Tool Condition Monitoring System' for difficult-to-cut materials. The CCRD methods of Design of Experiment is used for systematic planning of experiments. Based on the experimental data, predictive models are developed. The model found good agreement with experimental results, which shows that the developed models found reliable for tool wear prediction for the given tool-workpiece combination within the domain of the selected cutting parameter. 100 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is related to design and development of Tool Condition Monitoring System for difficult-to-cut materials. The CCRD methods of Design of Experiment is used for systematic planning of experiments. Based on the experimental data, predictive models a.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is related to design and development of 'Tool Condition Monitoring System' for difficult-to-cut materials. The CCRD methods of Design of Experiment is used for systematic planning of experiments. Based on the experimental data, predictive models are developed. The model found good agreement with experimental results, which shows that the developed models found reliable for tool wear prediction for the given tool-workpiece combination within the domain of the selected cutting parameter.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is related to design and development of 'Tool Condition Monitoring System' for difficult-to-cut materials. The CCRD methods of Design of Experiment is used for systematic planning of experiments. Based on the experimental data, predictive models are developed. The model found good agreement with experimental results, which shows that the developed models found reliable for tool wear prediction for the given tool-workpiece combination within the domain of the selected cutting parameter.