An automatic steplength control algorithm for stiff ODEs systems

The transient convective-transport heat transfer equation is applicable to many manufacturing processes when analyzing their thermal behavior. The finite element formulation for such a problem on a process domain produces a system of ordinary differerential equations which is characterized to be `stiff'. Careful handling of the solution is required in order to avoid oscillatory and inaccurate results. This problem can be avoided by selecting a suitable recurrence scheme together with an efficient steplength control algorithm. In this paper an automatic steplength control algorithm has been developed and implemented in a finite element program for the transient convective-transport equation. The algorithm has been tested using an example representing a manufacturing process.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/29987/1/0000352.pd

Current Advances in Mechanical Design and Production

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45870/1/10756_2004_Article_173316.pd

A Review Of Cloud Manufacturing: Issues And Opportunities

Cloud Manufacturing (CM) is the latest manufacturing paradigm that enables manufacturing to be looked upon as a service industry.The aim is to offer manufacturing as a service so that an individual or organization is willing to manufacture products and utilize this service without having to make capital investment.However,industry adoption of CM paradigm is still limited.This paper compared the current adoption of CM by the industry with the ideal CM environment.The gaps between the two were identified and related research topics were reviewed. This paper also outlined research areas to be pursued to facilitate CM adoption by the manufacturing industry.This will also improve manufacturing resource utilization efficiencies not only within an organization but globally.At the end,the cost benefits will be passed down to end customer

Industry/University Collaboration at the University of Michigan-Dearborn: A Focus on Relevant Technology

https://deepblue.lib.umich.edu/bitstream/2027.42/154104/1/kampfner1996.pd

Industry/University Collaboration at the University of Michigan-Dearborn: A Focus on Relevant Technology

https://deepblue.lib.umich.edu/bitstream/2027.42/154105/1/kampfner1997.pd

Industry/University Collaboration at the University of Michigan-Dearborn: A Focus on Relevant Technology

https://deepblue.lib.umich.edu/bitstream/2027.42/154106/1/kampfner1998.pd

Performance evaluation of vegetable oil as an alternative cutting lubricant when end milling stainless steel using tiain coated carbide tools

This paper reports the experimental investigations on the use of various cutting fluids when end milling AISI 420 hardened stainless steel using TiAIN coated carbide tool. The cooling techniques include dry, minimum quantity lubrication (MQL), and flood coolant with tool life and surface roughness as the main responses. Particular observation was emphasized on the use of vegetable oil as the coolant in MQL compared to the common fatty alcohol. Machining trials were performed at cutting speed of 100 m/min and feed of 0.03 mm/tooth. The radial and axial depths of cut were maintained at 12 mm and 0.6 mm, respectively. Results showed that both the cooling techniques and the type of cutting fluid used significantly affect the tool life and surface finish of the machined workpiece. MQL technique, especially when using vegetable oil based cutting fluid, outperformed other cooling techniques in terms of tool life. Flood coolant recorded the shortest tool life. Average flank wear was the dominant tool failure mode for all cooling techniques tested, except for flood coolant whereby average flank wear and chippings were the limiting factor for the tool failure. Dry cutting recorded the lowest surface roughness on the machined surface as compared to other cooling techniques. At the selected cutting parameters, particularly when the cutting tool was still sharp, the end milling produced surface finish of finer than 0.8 µm in arithmetical surface roughness (Ra)