title: Resonance wood [Picea abies (L.) Karst.]--evaluation and prediction of violin makers' quality-grading.
abstract: The definition of quality in the field of resonance wood for musical instrument making has attracted considerable interest over decades but has remained incomplete. The current work compares the traditional knowledge and practical experience of violin makers with a material-science approach to objectively characterize the properties of resonance wood. Norway spruce [Picea abies (L.) Karst.] has earned a very high reputation for the construction of resonance tops of stringed instruments and resonance boards of keyboard instruments, and was therefore chosen as the focus of the investigation. The samples were obtained from numerous renowned resonance wood regions in the European Alps and cover the whole range of available qualities. A set of acoustical, anatomical, mechanical and optical material properties was measured on each sample. These measurements were compared with subjective quality grading by violin makers, who estimated the acoustical, optical and overall suitability for violin making. Multiple linear regression models were applied to evaluate the predictability of the subjective grading using the measured material characteristics as predictors. The results show that luthiers are able to estimate wood quality related to visible features, but predictions of mechanical and acoustical properties proved to be very poor.
authors.affiliation: University of Natural Resources and Applied Life Sciences, Vienna, Austria. christoph.buksnowitz@boku.ac.at
authors.forename: Christoph
authors.initials: C
authors.lastname: Buksnowitz
authors.forename: Alfred
authors.initials: A
authors.lastname: Teischinger
authors.forename: Ulrich
authors.initials: U
authors.lastname: Müller
authors.forename: Andreas
authors.initials: A
authors.lastname: Pahler
authors.forename: Robert
authors.initials: R
authors.lastname: Evans
mesh_terms: D000162:Acoustics / Q000295:instrumentation*; D004867:Equipment Design; D008962:Models, Theoretical; D009146:Music; D028222:Picea; D013016:Sound