Multiscale roughness analysis in injection‐molding process

The roughness of polymer surfaces is often investigated to guarantee both the surface integrity and the surface functionality. One of the major problems in roughness measurement analyses consists in determining both the evaluation length and the reference line (i.e., the degree of the polynomial equation) from which roughness parameters are computed. This article outlines an original generic method based on the generalized analysis of variance and experimental design methodology for estimating the most relevant roughness parameter p, the most pertinent scale, s, and finally, the degree of the polynomial fitting, d. This methodology is then applied to characterize the influence of four process parameters on the final roughness of poly(polypropylene) samples obtained by injection molding. This method allows us to determine the most efficient triplet (p, s, d) that best discriminates the effect of a process parameter q. It is shown that different (p, s, d) values are affected to each process parameter giving finally the scale on which each process parameter modifies the roughness of a polymeric surface obtained by injection molding. POLYM. ENG. SCI., 2008. © 2008 Society of Plastics Engineers

[1]  Claude Tricot A model for rough surfaces , 2003 .

[2]  Liangchi Zhang,et al.  The role of viscous deformation in the machining of polymers , 2002 .

[3]  Christopher A. Brown,et al.  Comparing texture characterization parameters on their ability to differentiate ground polyethylene ski bases , 2006 .

[4]  J. H. Schuenemeyer,et al.  Generalized Linear Models (2nd ed.) , 1992 .

[5]  S. Dimov,et al.  The effects of tool surface quality in micro-injection moulding , 2007 .

[6]  J. Hanchi,et al.  Stick–slip friction in dissimilar polymer pairs used in automobile interiors , 1998 .

[7]  Kazunori Kato,et al.  Experimental study of transcription of minute width grooves in injection molding , 1994 .

[8]  Vincenzo Niola,et al.  A problem of emphasizing features of a surface roughness by means the Discrete Wavelet Transform , 2005 .

[9]  Michael V. Swain,et al.  Surface Roughness: Its Implications And Inference With Regards To Ultra Microindentation Measurements Of Polymer Mechanical Properties , 2004 .

[10]  Christopher A. Brown,et al.  Dental microwear texture analysis shows within-species diet variability in fossil hominins , 2005, Nature.

[11]  Bruno C. Hancock,et al.  Differentiation of the surface topographies of pharmaceutical excipient compacts , 2006 .

[12]  D. Rosa,et al.  The use of roughness for evaluating the biodegradation of poly-β-(hydroxybutyrate) and poly-β-(hydroxybutyrate-co-β- valerate) , 2004 .

[13]  Henrik Madsen,et al.  Introduction to Generalized Linear Models , 2012 .

[14]  R. Wierzbicki,et al.  Effect of roughness on adhesion of polymeric coatings used for microgrippers , 2007 .

[15]  P. Dearnley Low friction surfaces for plastic injection moulding dies : an experimental case study , 1999 .

[16]  Gabriel Pinto,et al.  Effect of surface roughness on the optical properties of multilayer polymer films , 2002 .

[17]  H. Nie,et al.  Microstructure study of acrylic polymer-silica nanocomposite surface by scanning force microscopy , 1997 .

[18]  Christopher A. Brown,et al.  Fundamental scales of adhesion and area-scale fractal analysis , 2001 .

[19]  Fujio Yamaguchi,et al.  Curves and Surfaces in Computer Aided Geometric Design , 1988, Springer Berlin Heidelberg.

[20]  Chunxin Yang,et al.  Evaluation of the wavelet transform method for machined surface topography 2: fractal characteristic analysis , 2003 .

[21]  J. Vogelsang,et al.  Enhanced surface roughness of organic coatings due to UV-degradation: an unknown source of EIS-artifacts , 2003 .

[22]  M. Srinivasarao,et al.  Adhesion enhancement in immiscible polymer bilayer using oriented macroscopic roughness , 1997 .

[23]  Eric R. Ziegel,et al.  An Introduction to Generalized Linear Models , 2002, Technometrics.

[24]  David R. Burton,et al.  Wavelet strategy for surface roughness analysis and characterisation , 2001 .

[25]  R. Heimann,et al.  Correlation between surface roughness of plasma-sprayed chromium oxide coatings and powder grain size distribution: a fractal approach , 2004 .

[26]  Gerald Farin,et al.  Curves and surfaces for computer aided geometric design , 1990 .

[27]  Maxence Bigerelle,et al.  Multiscale functional analysis of wear: A fractal model of the grinding process , 2005 .

[28]  Newell R Washburn,et al.  High-throughput investigation of osteoblast response to polymer crystallinity: influence of nanometer-scale roughness on proliferation. , 2004, Biomaterials.

[29]  Peter S Ungar,et al.  Dental microwear texture analysis: technical considerations. , 2006, Journal of human evolution.

[30]  A. T. Manninen,et al.  Multiscale surface roughness description for scattering modelling of bare soil , 2003 .

[31]  A. Gelman Analysis of variance: Why it is more important than ever? , 2005, math/0504499.

[32]  Nobuhiro Koga,et al.  An experimental study on ejection forces of injection molding , 2000 .

[33]  Maxence Bigerelle,et al.  Relevance of roughness parameters for describing and modelling machined surfaces , 2003 .