Process modeling for robotic polishing
Abstract This paper presents the solutions adopted for a robotic polishing cell for mold manufacturing. Mold finishing is frequently carried out manually; these kinds of operations are iterative, time consuming and require experience. Automation can introduce cost reduction minimizing production times on such manual finishing operations. The research shown in this paper provides an overall solution without discarding aspects that could be relevant to the task considered in the mold making environment. Most of the mold makers usually employ CAD/CAM systems in order to design workpieces and to prepare the CNC programs to manufacture the parts, this CAD data can also be used to prepare programs for the actual robot finishing of these parts. In this work, an automatic planning and programming system based on data from a CAD system is described. The direct use of the paths implies difficulties of adaptation mostly when free-shaped surfaces are treated, so that the use of a constant contact force control has also been considered. To accomplish the automation of the process it is necessary to establish a behavior model of the system’s variables. This fact allows the definition of the task specifications of the tools and, as a result, both the planning system and the control strategy by stages of the polishing process.
Prediction of surface roughness ratio of polishing blade of abrasive cloth wheel and optimization of processing parameters
Abrasive cloth wheel is significantly flexible at high-speed rotation and could realize adaptive micro-surface contact polishing of the blade of aviation engines. To reduce surface roughness and improve the surface integrity and mechanical property of the blade of aviation engine, this study determined the primary and secondary processing parameters by using orthogonal test and range method. Results show a significant linear correlation between blade surface roughness before and after polishing. A range of polishing parameters for orthogonal central combination test was determined based on the tendency chart. A roughness ratio prediction model was established based on the orthogonal central combination test results. This model was verified significant by variance and diversity analyses. The polishing parameters were optimized using response surface method. Finally, polishing experiment using a blisk confirmed the reliability of the established prediction model and the optimized parameters.
Progress on detection and analysis method of environmental endocrine disruptors
In this paper,the advances on detection and analysis methods of environmental endocrine disruptors were reviewed,which included the categories,pretreatment technique in different matrices and detection method etc,and the future′s prospects on the study of detection and analysis method were talked about also.