Repairing Fractures II

We have been investigating alternative methods of consolidating glass fractures. The techniques we have tested are inspired by methods used in other conservation disciplines.

Japanese paper applied with wheat starch is a standard treatment used by paper and paintings conservators and it has also been used to repair very fragile and corroded archaeological glasses as well as other objects.

We tried this technique to temporarily secure fractured glass in situ in an early 16th century stained glass panel from Fawsley Hall. This was initially intended to be a temporary repair, but two years on the repair is unchanged and still very effective in supporting the broken glass. We are monitoring the panel to assess the durability of the repair over time, although we do plan to replace the paper at some later stage.

Japanese paper

Japanese paper repairs to 45.317 Shield of Skenard from Fawsley Hall on display in the Burrell Collection Restaurant

The Japanese paper is barely noticeable in transmitted light, but in reflected light it is clearly visible. This makes it acceptable as it does not interfere with the imagery of the panel from the front, but it can be easily identified as a repair when viewed from the back.

Wheat starch as an adhesive is easily reversed using moisture, which is great if the stained glass is in a protected and accessible display, but obviously not suitable for stained glass displayed in a damp building. The other draw back of wheat starch is that the paste is organic and a potential food source for micro organisms, so again it will be less useful in a damp environment and in locations where the glass will not be looked at for years.

Fabrics

Based on our success with paper we decided to test materials that are stronger and more durable than paper but similarly transparent and without too much distracting texture.

We considered a variety of fabrics with advice from textile conservator colleagues, and decided to compare light weight nylon, silk, polyester and glass fibre fabric alongside Japanese tissue. We applied the samples with Klucel G (wheat starch paste) and Paraloid B72 (a thermoplastic resin) to investigate the pros and cons of each adhesive.

Fabric tests on glass
fabric and paper tested on glass

Our first test results are unambiguous: in terms of ease of application and quality of the results the samples applied with wheat starch paste look much better than those applied with Paraloid B72. We plan to carry out more tests with Paraloids in a variety of solutions to see if we can achieve a satisfactory result. Using a resin would make the method more suitable to use in a wider variety of display conditions.

As for the fabrics: we found that the honeycomb pattern of the light weight nylon net was visually distracting against a piece of transparent glass.

Nylon mesh
Nylon mesh

 

 

 

 

 

 

 

Silk crepeline has a fine, hardly noticeable texture and is semi transparent, but is awkward to apply and tends to distort. It is a natural fibre and while it is initially quite strong, it is not very durable and deteriorates in daylight.

Silk
Silk

 

 

 

 

 

 

 

The woven glass fibre fabric also has a tendency to distort during the application process, and it frays easily at the edges. We were initially quite positive about using this material – it seems logical to use a glass based fabric on glass – but we actually found that it was more visually intrusive than many of the other fabrics.

Glass fibre
Glass fibre

 

 

 

 

 

 

 

 

 

Based on our sample tests we found that a polyester fabric is structurally stable and provides good support, it has good durability and it does not have a distracting texture.

Polyester
Polyester

 

 

 

 

 

 

 

 

We therefore decided to test it on some fractured stained glass. In the next blog we will discuss the results.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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Faces in the Boppard Panels – Identification and results of the survey

In this blog, we are identifying the faces and showing the percentage of the forms completed that selected faces as good or bad, and more specifically, God, Jesus, Mary and the Devil. Our next faces blog will be a more general discussion of the faces in the Boppard panels.

Many thanks to all who took part in our survey!

Faces45-485-1a

Faces45-485-1c

FacesIndex1w

Faces from Agony in the Garden and Christ Before Pilate panels:

Face # Good or Bad? % correct Identity % correct
1 Good 11% Angel
2 Bad 15% Judas Iscariot
3 Good 6% Disciple
4 Good 6% Disciple
5 Good 16% Disciple
6 Good 5% Jesus 33%
7 Debatable! 9% Pilate
8 Bad 23% Calling for death of Jesus
9 Bad 17% Calling for death of Jesus
10 Good 2% Jesus 53%
11 Bad 63% Calling for death of Jesus
12 Bad 28% Calling for death of Jesus
13 Bad 12% Calling for death of Jesus

Faces45-489-1a

Faces45-489-2a

FacesIndex2w

 

Faces from Annunciation, Birth of Mary and top of the Christ Before Pilate panels:
Face # Good or Bad? % correct Identity % correct
14 Good 20% God 25%
15 Good 2% Angel Gabriel
16 Good 7% Virgin Mary 57%
17 Bad 59% Calling for death of Jesus
18 Good 2% St Ann
19 Good 15% Baby Mary 8%
20 Good 12% Nurse
21 Good 9% Nurse

Faces45-489-3a

Faces45-489-3c

FacesIndex3w

 

Faces from Annunciation, Birth of Mary and top of the Christ Before Pilate panels:
Face # Good or Bad? % correct Identity
22 Good 6% Jesus 27%
23 Good 12% St Peter
24 Good 0% Angel
25 Good 5% Jesus 45%
26 Good 4% Angel

Faces45-489-1ab

Faces45-489-1ce

FacesIndex4w

Faces from Ninth Commandment and Virgin & Child panels:
Face # Good or Bad? % correct Identity % correct
27 Good 2% God 1%
28 Bad 76% Devil 56%
29 Bad 6% People coveting their neighbour’s house
30 Bad 32% People coveting their neighbour’s house
31 Bad 51% People coveting their neighbour’s house
32 Bad 62% People coveting their neighbour’s house
33 Good 4% People looking to heaven
34 Good 6% People looking to heaven
35 Good 4% People looking to heaven
36 Good 4% People looking to heaven
37 Good 0% Angel
38 Good 33% Baby Jesus
39 Good 4% Virgin Mary 61%

Faces45-489-1fg

Faces45-489-2

FacesIndex5w

Faces from a canopy and the Siegfried von Gelnhausen panels:
Face # Good or Bad? % correct Identity % correct
41 Good 11% Praying man
42 Good 4% Praying man
43 Good 24% Siegfried
44 Good 4% Siegfried’s wife