project H:Specialization

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MULTI-COMPONENT SYSTEM RESEARCH

Our specialization is “multi component system”. We are trying to make components that can adapt (move, rotate, change color, etc.) by using real time information provided by sensors. In our specialization we search deep to find the optimal shape for these components within several conditions.

Mapping will be used as a tool to identify the patterns and understand them. It explains the found information to our validators as well.
We are searching for simple but effecting techniques to make the adaption happen. For this we are using existing systems and other prototypes as our example. To connect and disconnect these components we are taking inspiration from toys’ components and connections. These toy connections though look relatively easy and simple, still are capable of creating strong and effective connections.As general question still remains for our project, how to create a non-standard structure out of standard components?




PATTERNS AND GEOMETRY

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We experiment with patterns which generally find references to the nature. A self-organization pattern as the one we will use is dynamic and gets developed over time. Based to the principles of self-similarity (the fundamental principle of a self-similar structure is the repetition of a unit pattern on different size scales), we can create a structure which theoretically can be extended to infinity and to adapt to every site.

PARAMETERS


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For our project we are collecting two kinds of parameters.


To create our structure we are collecting parameters from the site and its environment. We are using the average value of the wind and sun seen over a year. Further we collect information from the existing pathway and linkages.


The parameters for our components are real time collected. We will place sensors on our components that will collect information which will be directly processed.



FABRICATION + ADAPTATION



ITERATION

Different techniques such as repetition, unfolding, bending, mirroring, twisting, scaling and duplication will be carried out on component geometry to develop construct iterations. Some of the possible itereations have been shown below:

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SPIRALING: Produces a shape unlike any other because it is seldom experienced as geometry, but rather as energy

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PACKING: Produces stability through adjacency.

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WEAVING: Produces strength by combining two weak systems in a reciprocal pattern.

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BLENDING is a fundamental technique in the act of negotiation.

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CRACKING: By recalling its source shape recursively, cracking generates a geometry of self-similarity.

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TILING assembles a patterned techtonic. Eg:Voronoi Tiling


SYSTEM RULES

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In order for elements in these components to be self-organizing and reconfiguring, there have to be a set of inbuilt rules for them to arrange themselves, so that the system is not chaotic and at the same time, is not stable/static.


Rules would help to give a basis for the system to organize itself. A system must meet a number of conditions and constraints to be able to move from a disordered state to an ordered one. This could also be done by establishing a set of rules for the system. The intent is to create a system that has no organization within itself but, if provided with the right conditions, it could self-organize.



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Exploring a set of rules. and how a change in one situation could affect the rest of the elements within the system. Also, how elements could self-organize themselves with just a few rules.




MATERIAL

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SHEET METAL: It can be folded without loss of structural integrity) can be formed into complex, three-dimensional shapes by multi-axis folding machine or CNC miller.

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FIBRE-GLASS: As with any pouring or moulding process, the act of casting shapes out of fluid materials has the advantage that complex, curved surfaces may be achieved.

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MEMBRANE FABRIC: An air cell structure is one that is self-supportable and self-erectable using only an air fan, it is constructed entirely from fabric and can therefore be reduced to a small volume for handling and transportation. Cellular nature of the structure offers an enormous range of geometrical variations including the capacity to be self-supporting and to resist wind load.

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TIMBER: The fabrication of timber is one of the most common things. It depends in the first instance upon the quality of the raw material and the way in which it is treated.

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POLYCARBONATE PANEL: Polycarbonate panels are made up of polymers added with carbonate. It is very easy to work with in terms of manufacturing, shaping, bending, rolled out into sheets, among others..It is used for making the ultra hard outer coating for automobile panels and other components.It is a light weight and ultra tough materials.




ASSEMBLY LOGIC

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CONSTRUCTION

In situ construction. The system is made of multiple components. It is designed especially for the host site and constructed in it. The components are moved there and connected to each other according to the scenario and the parameters.

MECHANISM

Hydraulic mechanisms are used in the interior part of each component. Capturing the energy these mechanisms make the component as well as the system to interact.


AUTOMATION


How much intelligence is efficient to embed


In order to understand which electronics and software would be best suited to our needs it is important to understand the different impacts that they could have on the user interface and resulting fabrication. There is a gradient of intelligence that can be embedded including an integration of more than one system approach.


BEAM(Biological, Electronic,Aesthetic, Mechanical)approach will be adopted in this regard.



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BEAM


Design of the component makes it inherently reactive to its environment. It is therefore possible to embed an intelligence into the component; an ability to respond to external conditions independently. It is conceivable to employ this technology in the focusing system associated with the enclosures. Based on system design, the component would continuously adapt by treating the connection between circuit components as neurons in the brain.

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