Aim: Machining protocol – Making art with machine.

This experiment started off as an attempt to art with a machine but ended up exploring the impact of centripetal force, torque, tension and material identities. This simple experiment is inspired from a train and the ambiguities of triangulation and pivotal movement to create a dynamic canvas.

The train along a circular path to move the primary fixed triangulation, is an attempt to add another dimension to control the canvas, we added a secondary triangulation as a free axial pivot to the primary. This was further amplified by a third free triangulation. The design of the triangulation was a design alteration to account for the equilibrium of stability.

The circular track that defines the path of motion of the ink rail-trail is laser cut from 5mm thick acrylic sheets and aligned like a puzzle to form a perfect circle. Each of the triangulation was an altercation developed by carefully parametrised acute triangles to maximize canvas and dynamize outcome; outcome as we believe was nothing short of amazing!

In an attempt to map the path of the secondary and tertiary triangulation, we also used pens with different line-weight; the defined path being the lighter lign-weight and the randomness being the thicker line-weight. In the midst of all this, we did not forget to have a little fun; after all, choo-choo trains do need their steam!!

A humble attempt by,

Mubashir, Evelina, Sayali, Vishesh.

Way forward (General review input):

• Remove the obvious path – the primary triangulation to make way, as the path is defined.
• Analyse on-site implication on mapping
• Altercations to a defined path
• Explore full potential of machine
• Replace the pen with actual element

As for replacing matter, we look at magnetic ore dispatched through a funnel instead of ink through the pen. the pivotal pen to be replaced by a positively charded electromagnet to repel the magnetic ore. We look forward to take this forward to study and impliment  on 1:1 scale an make dynamic art.

Data Input:

• direction of train movement is direct maping of direction of movement of strolley with respct to a patch of space
• and the speed or distance covered in space and time will be the potentiometer value.

Machine stimulation – machine-simulation

Machine working drawing – machine-drawing-1

Mapping

Subject – Transit

Tool – People with Trolleys

Parameters –  Distance as a factor of time and subject to speed

Mapping – 161116-mapping-suigly

The aim of our mapping exercise is a way to map transit; in this tourist city of Barcelona. Transit, by definition indicates passing through, in this case we are considering people passing through Barcelona and the tool we used for this was to map hand luggage or strolly bags. The idea for this strategy is a direct implication of the site as it is.

The site we examined was the intersection between Carrer de la Diputacio and Carrer de Calabria. This exiample had 7 restaurants, 2 banks, 1 supermarket, 1 service apartment, and 1 hotel to its credit and that helped us amplify our search. The mapping was done extensively over 3 days over 3 time slots. Day 1, first session was from 13:45hours till 16:00hours to account for siesta and lunch. Day 2, the second session was from 11:15 hours till 13:15 hours to account for the hotel check out time and bank working hours. Day 3, the third session was from 18:00hours till 19:30 hours to account for transit passengers that take international flights. Over the period of 3 days we accounted for over hundred transit passengers.

We used time as a factor of distance and speed as the variable to map movement. Each transit was viewed for 30 seconds to calculate the distance covered in a particular direction taking average walking speed of a person to be 4.8Km/hour. This was depicted through an origin and a predicted end location in 30 seconds with variable of speed marked through arcs cutting a straight-line vector.

This exercise in foresight is an experiment to activate the supervilla as a functional hub for transit passengers and this mapping shows the general trend of movement and usage of the example in question. To eradicate the human error factor in mapping and digitally feed data, we look at the following options at mapping:

• Wifi car to count people with bags
• Paint blotch on the floor for strolley’s to leave a trail