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November 2015

AFRICAN FUSION

29

plants

subject to health regulation

Figure 1. An example of an ideal weld, a TIG orbital weld on 316L electro-

polished stainless steel pipe.

Figure 2: An unacceptable manual weld with defects including

lack-of-penetration, misalignment, a crevice, and a poor ID purge.

• Heat induced oxidation in the HAZ

(inert purging gas needs to be used).

• Geometric effects from misalign-

ment and/or uncontrolled welding

of root beads leading to stagnant

regions.

• Cooling of heterogeneous filler

metal leading to micro cracking.

• Pickling and passivating chemical

treatments affecting surface rough-

ness.

• Fit-up effects from poorly cut and/

or aligned pipe-ends leading to local

under or overfill.

Pipe welding

For pipework, the preferred fabrication

method is automatic orbital welding

as this is capable of producing consis-

tently high qualitywelds. Process plants

require a significant level of on-site

assembly welding of small-bore thin-

walled pipes, in particular. Welds on

the product-contact side must be con-

tinuous; they must be smooth enough

to allow proper cleaning.

Figure 1 shows an ideal welded

joint, a TIG orbital weld on 316L electro-

polished stainless steel pipe. Theweld is

fully penetrated with a uniform crevice-

free inner weld bead showing good

pipe-to-pipe alignment. The internal

diameter (ID) was purged with argon.

To achieve this:

• Pipes must be dimensionally

matched (within 20% by weight).

• Alignment, fit-up, orientation and

cleanliness must be controlled.

• Weld procedure used is alignedwith

the sulphur % (Note changes and

effect of changes in 316 composi-

tion limits).

• Tungsten geometry is diamond

ground and correct.

Figure 2 shows a manual weld taken

from an operating pharmaceutical

plant. This unacceptable weld has

defects including lack-of-penetration,

misalignment, a huge crevice, and a

poor ID purge.

Impact of pipemanufacturing

and fabrication

Several factors lead to inadequate

welded joints and pipe fabrication.

One of these is pipe geometry. Pipes

designed to be circular are often oval

due to manufacturer inputs related to

the rolling, slitting, forming, seamweld-

ing and cutting to length operations.

Pipes are manufactured to diameter,

wall thickness and ovality tolerances.

These tolerances affect the matching

and alignment of pipe-ends, which are

otherwise correctly prepared. Whilst this

is a matter beyond welder control, the

fabricator can influence choices. In ad-

dition, fabricator centroidmisalignment

is important.

In the case of thin walled pipes,

the impacts of tolerances on hygienic

fabrication can be significant in terms of

the increasedCIPoperations required to

maintain an acceptable product.

To test the impacts of pipe manu-

facture on weld integrity, 90 × 316L

stainless steel pipes and bends from

the then current Okahandja brewery

project in Namibia were measured by

the fabricator in India. Maximum (major

axis) andminimum(minor axis) external

diameters and three equally spacedwall

thicknesses were tabled. Of these 90

pipes, 27 related to 50 mm ID, 1.5 mm

wall thickness pipes were analysed.

These naturally fell into two distinct

groups, one with tight manufactur-

ing tolerances (ovality 0.04-0.07 mm)

and one with wider tolerances (ovality

0.17‑0.51 mm).

A Monte Carlo-based mathematical

algorithm was developed to assess in-

terconnecting pipes against the criteria

of a point-by-point minimum overlap of

80%around the pipe circumference. (Or-

bital weldingmanufacturers prefer 95%).

The algorithm included three parts: an

external ellipse; an internal shape; and

a randommisalignment. The external el-

lipsewas definedby themeasuredmajor

andminor axes, and the internal surface

by the external ellipse less the local wall

thickness. This was modelled as a ran-

domly orientatedquartic functionbased

on the three wall thicknesses taken for

each specific pipe and themisalignment

by allowing for a random6%variation of

wall thickness (0.1 mm).

Twelve pipe alignment situations

were measured. Each involved 1 000

iterations. The minimum overlap for

each iteration case was recorded onto

a histogram.

The cases included: fitting one

straight, high-tolerance pipe to another

with no orientation control; and fitting

one randomly selected, high-tolerance

pipe to another with major axis align-

ment. The fit-up models were repeated

using low tolerance pipes, and connect-